Bibliography of Self-Organizing Map (SOM) Papers: 1981-1997

The Self-Organizing Map (SOM) algorithm has attracted an ever increasing amount of interest among researches and practitioners in a wide variety of elds. The SOM and a variant of it, the LVQ, have been analyzed extensively, a number of variants of them have been developed and, perhaps most notably, they have been applied extensively within elds ranging from engineering sciences to medicine, biology, and economics. We have collected a comprehensive list of 3343 scienti c papers that use the algorithms, have bene ted from them, or contain analyses of them. The list is intended to serve as a source for literature surveys. We have provided both a thematic and a keyword index to help nding articles of interest.

[1]  Tom Heskes,et al.  Neural networks learning in a changing environment , 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

[2]  Hui Liu,et al.  Competitive learning algorithms for image coding , 1992, Defense, Security, and Sensing.

[3]  U. Nehmzow.  Some initial experiments in self-organization and dynamic sensing , 1995 .

[4]  M. Herrmann.  Self-Organizing Feature Maps with Self-Organizing Neighborhood Widths , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

[5]  Helge Ritter,et al.  Learning of Visuomotor Coordination of a Robot Arm with Redundant Degrees of Freedon , 1989 .

[6]  Kari Torkkola.  LVQ-based Codebooks in Phonemic Speech Recognition , 1995 .

[7]  Suk-Hwah Suh,et al.  Neural network modeling for tool path planning of the rough cut in complex pocket milling , 1996 .

[8]  Terry Caelli,et al.  Learning Temporal Sequences in Recurrent Self-Organising Neural Nets , 1997, Australian Joint Conference on Artificial Intelligence.

[9]  Jack D. Cowan,et al.  Source Separation and Density Estimation by Faithful Equivariant SOM , 1996, NIPS.

[10]  S. Carrato.  Image vector quantization using ordered codebooks: Properties and applications , 1994, Signal Process..

[11]  Jouko Lampinen,et al.  Feature extractor giving distortion invariant hierarchical feature space , 1991, Defense + Commercial Sensing.

[12]  Wolfgang Rosenstiel,et al.  Regularized SOM-training: a solution to the topology-approximation dilemma? , 1996, Proceedings of International Conference on Neural Networks (ICNN'96).

[13]  Pei-Yung Hsiao,et al.  Force directed self-organizing maps for L-shaped cell placement using delta learning rule , 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

[14]  K. Schulten,et al.  Kohonen's self-organizing maps: exploring their computational capabilities , 1988, IEEE 1988 International Conference on Neural Networks.

[15]  Naohiro Fukumura,et al.  Self-organizing Internal Representation in Learning of Navigation: A Physical Experiment by the Mobile Robot YAMABICO , 1997, Neural Networks.

[16]  Thomas Villmann,et al.  Measuring topology preservation in maps of real-world data , 1997, ESANN.

[17]  Ari Visa.  Topological feature map and automatic feature selection , 1992, Defense, Security, and Sensing.

[18]  Satoru Kishida,et al.  The Traveling Salesman Problem Applied to the Self-Organizing Feature Map , 1994 .

[19]  D. Fraser,et al.  An MSOM framework for multi-source fusion and spatio-temporal classification , 1997, IGARSS'97. 1997 IEEE International Geoscience and Remote Sensing Symposium Proceedings. Remote Sensing - A Scientific Vision for Sustainable Development.

[20]  T. Lu,et al.  Adaptive optical system for neural computing , 1990, IEEE TENCON'90: 1990 IEEE Region 10 Conference on Computer and Communication Systems. Conference Proceedings.

[21]  David Rowe,et al.  Performance comparison of neural networks for undersea mine detection , 1994, Defense, Security, and Sensing.

[22]  Ahmed Hemani,et al.  Scheduling by Self-organization , 1990 .

[23]  E. A. Riskin,et al.  Ordered neural maps and their applications to data compression , 1991, Neural Networks for Signal Processing Proceedings of the 1991 IEEE Workshop.

[24]  Mikko Kurimo.  Segmental LVQ3 training for phoneme-wise tied mixture density HMMS , 1996, 1996 8th European Signal Processing Conference (EUSIPCO 1996).

[25]  Pietro G. Morasso,et al.  A Principled Approach to a Theory of Self-organization in Cortical Maps Based on EM-Learning , 1997, ICONIP.

[26]  E. Grant,et al.  Neural network based competitive learning for control , 1992, Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92.

[27]  Vladimir Cherkassky,et al.  Constrained Topological Maps for Regression and Classification , 1997, ICONIP.

[28]  Yukio Kosugi,et al.  Bidirectional feature map for robotic arm control , 1994, Systems and Computers in Japan.

[29]  Cheng-Yuan Liou,et al.  Diagnoses for machine vibrations based on self-organization neural network , 1991, Proceedings IECON '91: 1991 International Conference on Industrial Electronics, Control and Instrumentation.

[30]  Gavin C. Cawley,et al.  The use of vector quantization in neural speech synthesis , 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

[31]  Farid U. Dowla,et al.  Seismic event interpretation using self-organizing neural networks , 1992, Defense, Security, and Sensing.

[32]  Masatoshi Sakawa,et al.  Application of Kohonen's self-organizing network to the diagnosis system for rotating machinery , 1995, 1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century.

[33]  Naonori Ueda,et al.  A new competitive learning approach based on an equidistortion principle for designing optimal vector quantizers , 1994, Neural Networks.

[34]  Halit Eren,et al.  A study of the use of self-organising map for splitting training and validation sets for backpropagation neural network , 1996, Proceedings of Digital Processing Applications (TENCON '96).

[35]  S. P. Luttrell.  Using self-organising maps to classify radar range profiles , 1995 .

[36]  Erkki Oja,et al.  Optimal Texture Feature Selection for the Co-Occurrence Map , 1996, ICANN.

[37]  T. Fomin,et al.  Self-organizing neurocontrol , 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

[38]  Weihua Liu,et al.  Smart structure state monitoring system using OFS array and NN processing , 1995, Optics + Photonics.

[39]  Fernando Mendes de Azevedo,et al.  Brain Electrographic State Detection Using Combined Unsupervised and Supervised Neural Networks , 1995, ICANNGA.

[40]  Marimuthu Palaniswami,et al.  A hybrid neural approach to combinatorial optimization , 1996, Comput. Oper. Res..

[41]  S. P. Luttrell,et al.  A Bayesian Analysis of Self-Organizing Maps , 1994, Neural Computation.

[42]  G. Tambouratzis,et al.  Comparison of supervised and unsupervised discriminator-based logic neural networks , 1994 .

[43]  Thomas Jay Billhartz,et al.  Signal Processing and Neural Network Simulator , 1995, SPIE Defense + Commercial Sensing.

[44]  Lane M. D. Owsley,et al.  Self-organizing feature maps with perfect organization , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

[45]  W. Kessler,et al.  Improved prediction of the corrosion behaviour of car body steel using a Kohonen self organising map , 1994 .

[46]  Anthony Kuh,et al.  A combined self-organizing feature map and multilayer perceptron for isolated word recognition , 1992, IEEE Trans. Signal Process..

[47]  N. Kashiwagi,et al.  Heating and cooling load prediction using a neural network system , 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

[48]  Timo Hämäläinen,et al.  Linearly Expandable Partial Tree Shape Architecture for Parallel Neurocomputer , 1996, ICANN.

[49]  Teuvo Kohonen,et al.  Exploration of large document collections by self-organizing maps , 1998 .

[50]  Shan Lin.  Comparison of Kohonen feature map against K-mean clustering algorithm with application to reversible image compression , 1991, China., 1991 International Conference on Circuits and Systems.

[51]  P. Ienne,et al.  Performance of digital neuro-computers , 1994, Proceedings of the Fourth International Conference on Microelectronics for Neural Networks and Fuzzy Systems.

[52]  Richard Durbin,et al.  An analogue approach to the travelling salesman problem using an elastic net method , 1987, Nature.

[53]  Manfred Leisenberg.  Hearing aids for the profoundly deaf based on neural net speech processing , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[54]  V. Peiris,et al.  Implementation of a fully parallel Kohonen map: a mixed analog digital approach , 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

[55]  Risto Miikkulainen,et al.  Topographic Receptive Fields and Patterned Lateral Interaction in a Self-Organizing Model of the Primary Visual Cortex , 1997, Neural Computation.

[56]  Joseph P. Noonan,et al.  Fuzzy Kohonen Network for the Classification of Transients Using the Wavelet Transform for Feature Extraction , 1995, Inf. Sci..

[57]  Thomas W. Ryan,et al.  Vector Quantization Training By A Self-Organizing Neural Network , 1988, Defense, Security, and Sensing.

[58]  Fouad Badran,et al.  Regression by Topological Map: Application on Real Data , 1996, ICANN.

[59]  C. K. Un,et al.  Speaker adaptation using learning vector quantisation , 1990 .

[60]  Masafumi Hagiwara,et al.  Self-organizing multi-layer semantic maps , 1991 .

[61]  K. Abraham-Fuchs,et al.  Neural networks for segmentation and clustering of biomagnetical signals , 1992, Neural Networks for Signal Processing II Proceedings of the 1992 IEEE Workshop.

[62]  Ioannis Pitas,et al.  Robust estimation for radial basis functions , 1994, Proceedings of IEEE Workshop on Neural Networks for Signal Processing.

[63]  F. Poirier.  Improving the training and testing speed and the ability of generalization in learning vector quantization-DVQ , 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

[64]  Michel Declercq,et al.  Implementation of a learning Kohonen neuron based on a new multilevel storage technique , 1991 .

[65]  Andreas Zell,et al.  Similarity analysis of molecules with self-organizing surfaces-An extension of the self-organizing map , 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

[66]  Enrique Cervera,et al.  Use of sensors to deal with uncertainty in realistic robotic environments , 1995, SPIE Defense + Commercial Sensing.

[67]  Helmut Ermert,et al.  Tissue characterization of the prostate using Kohonen-maps , 1994, 1994 Proceedings of IEEE Ultrasonics Symposium.

[68]  Ira R. Forman,et al.  Derived Metaclasses in SOM , 1994, International Conference on Software Technology: Methods and Tools.

[69]  Jari Kangas.  TIME-DEPENDENT SELF-ORGANIZING MAPS FOR SPEECH RECOGNITION , 1991 .

[70]  Gary Whittington,et al.  Applying visualization techniques to the development of real-world artificial neural networks applications , 1992, Defense, Security, and Sensing.

[71]  Kunio Nakajima,et al.  An optimal discriminative training method for continuous mixture density HMMs , 1990, ICSLP.

[72]  Richard P. Lippmann.  Neutral nets for computing , 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

[73]  Granino Arthur Korn.  Interactive statistical experiments with template-matching neural networks , 1990, IEEE Trans. Syst. Man Cybern..

[74]  J. Zupan,et al.  Neural Networks in Chemistry , 1993 .

[75]  Jürgen Monnerjahn.  Speeding-up Self-organizing Maps:The Quick Reaction , 1994 .

[76]  J Duvillier,et al.  All-optical implementation of a self-organizing map: Learning and taxonomy capability assessment. , 1995, Applied optics.

[77]  D. Benitez-Diaz,et al.  Learning Algorithm with Gaussian Membership Function for Fuzzy RBF Neural Networks , 1995, IWANN.

[78]  Patrick Rousset,et al.  The Kohonen Algorithm: A Powerful Tool for Analyzing and Representing Multidimensional Quantitative and Qualitative Data , 1997, IWANN.

[79]  Heikki N. Koivo,et al.  Application of Neural Networks in the Detection of Breaks in a Paper Machine , 1992 .

[80]  Alan A. Stocker,et al.  Stability study of some neural networks applied to tissue characterization of brain magnetic resonance images , 1996, Proceedings of 13th International Conference on Pattern Recognition.

[81]  Lambert Schomaker,et al.  Using stroke- or character-based self-organizing maps in the recognition of on-line, connected cursive script , 1993, Pattern Recognit..

[82]  Nasser M. Nasrabadi,et al.  Target recognition for FLIR imagery using learning vector quantization and multilayer perceptrons , 1995, Defense, Security, and Sensing.

[83]  Luis Garrido,et al.  Statistical Mechanics of Neural Networks , 1990 .

[84]  J Saarinen,et al.  Self-Organized Formation of Colour Maps in a Model Cortex , 1985, Perception.

[85]  Franck Poirier,et al.  DVQ: DYNAMIC VECTOR QUANTIZATION - AN INCREMENTAL LVQ , 1991 .

[86]  R. Sadananda,et al.  Topological maps for VLSI placement , 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

[87]  L Leinonen,et al.  Acoustic pattern recognition of /s/ misarticulation by the self-organizing map. , 1993, Folia phoniatrica.

[88]  Thomas Villmann,et al.  Time behavior of topological ordering in self-organizing feature mapping , 1997, Biological Cybernetics.

[89]  James C. Bezdek,et al.  Two generalizations of Kohonen clustering , 1993 .

[90]  Teuvo Kohonen,et al.  A Simple Paradigm for the Self-Organized Formation of Structured Feature Maps , 1982 .

[91]  Max A. Viergever,et al.  Kohonen networks for multiscale image segmentation , 1994, Image Vis. Comput..

[92]  Angel P. del Pobil,et al.  Self-Organizing Maps for Supervision in Robot Pick-And-Place Operations , 1995, ICANNGA.

[93]  Joseph Thomas Gengo.  Application of neural networks to the F/A-18 Engine Condition Monitoring System , 1989 .

[94]  D. Blight,et al.  Neural network-based ATM QoS estimation , 1997, IEEE WESCANEX 97 Communications, Power and Computing. Conference Proceedings.

[95]  Daniel Polani,et al.  Training Kohonen Feature Maps in Different Topologies: An Analysis Using Genetic Algorithms , 1993, ICGA.

[96]  Mary M. Poulton,et al.  Location of subsurface targets in geophysical data using neural networks , 1992 .

[97]  Pasi Koikkalainen,et al.  Self-organizing hierarchical feature maps , 1990, 1990 IJCNN International Joint Conference on Neural Networks.

[98]  David C. Wilson,et al.  Comparison of Traditional Brain Segmentation Tools with 3D Self-Organizing Maps , 1997, IPMI.

[99]  R. Horowitz,et al.  Self-organizing neural networks: convergence properties , 1996, Proceedings of International Conference on Neural Networks (ICNN'96).

[100]  Andrea Baraldi,et al.  Fuzzy clustering: critical analysis of the contextual mechanisms employed by three neural network models , 1996, Defense + Commercial Sensing.

[101]  Luca Maria Gambardella,et al.  Learning the Visuomotor Coordination of a Mobile Robot by Using the Invertible Kohonen Map , 1995, IWANN.

[102]  Xinbo Gao,et al.  Fuzzy-Kohonen-clustering neural network trained by genetic algorithm and fuzzy competition learning , 1995, Other Conferences.

[103]  J. C. Scholtes.  Unsupervised context learning in natural language processing , 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

[104]  Carme Torras,et al.  Self-calibration of a space robot , 1997, IEEE Trans. Neural Networks.

[105]  Peter Brauer,et al.  Infrastructure in Kohonen maps , 1989, International Conference on Acoustics, Speech, and Signal Processing,.

[106]  Mikko Kurimo,et al.  Using the self-organizing map to speed up the probability density estimation for speech recognition with mixture density HMMs , 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

[107]  Arnaldo Spalvieri,et al.  Certain facts about Kohonen's LVQ1 algorithm , 1996 .

[108]  Sar Sardy,et al.  Experimental medical and industrial applications of neural networks to image inspection using an inexpensive personal computer , 1996 .

[109]  Forouzan Golshani,et al.  Content-based image indexing and retrieval system in ImageRoadMap , 1997, Other Conferences.

[110]  S. P. Luttrell.  Self-supervised training of hierarchical vector quantisers , 1991 .

[111]  Thomas Martinetz,et al.  Hierarchical neural net for learning control of a robot's arm and gripper , 1990, 1990 IJCNN International Joint Conference on Neural Networks.

[112]  John A. Flanagan.  Sufficient conditions for self-organisation in the one-dimensional SOM with a reduced width neighbourhood , 1998, Neurocomputing.

[113]  Constantine N. Manikopoulos,et al.  Adaptive encoding of a videoconference image sequence via neural networks , 1992 .

[114]  Richard Durbin,et al.  A dimension reduction framework for understanding cortical maps , 1990, Nature.

[115]  N. Natori,et al.  A practical neural network for handwritten character recognition built by dynamics-based active learning and self-organization of feedback mechanism , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

[116]  Olli Ventä,et al.  Phonetic typewriter for Finnish and Japanese , 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

[117]  F. Fogelman Soulie,et al.  Cooperation of GBP and LVQ networks for optical character recognition , 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.

[118]  Teuvo Kohonen,et al.  STATISTICAL PATTERN RECOGNITION REVISITED , 1990 .

[119]  Marlene Alvarez,et al.  Decoding functions for Kohonen maps , 1994, ESANN.

[120]  F. Murtagh,et al.  The Kohonen self-organizing map method: An assessment , 1995 .

[121]  Magali E. Azema-Barac.  A conceptual framework for implementing neural networks on massively parallel machines , 1992, Proceedings Sixth International Parallel Processing Symposium.

[122]  Ah Chung Tsoi,et al.  Convolutional neural networks for face recognition , 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[123]  J. P. Card,et al.  SRAM bitmap shape recognition and sorting using neural networks , 1995 .

[124]  Corrado Di Natale,et al.  Pattern recognition in gas sensing: well-stated techniques and advances , 1995 .

[125]  Regina Lamedica,et al.  A neural network based technique for short-term forecasting of anomalous load periods , 1996 .

[126]  Shigeru Katagiri,et al.  Speaker-independent large vocabulary word recognition using an LVQ/HMM hybrid algorithm , 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

[127]  Wen-Tsuen Chen,et al.  A neural network model which combines unsupervised and supervised learning , 1993, IEEE Trans. Neural Networks.

[128]  Teuvo Kohonen,et al.  Learning vector quantization , 1998 .

[129]  J.A. Janet,et al.  Global self-localization for autonomous mobile robots using region- and feature-based neural networks , 1995, Proceedings of IECON '95 - 21st Annual Conference on IEEE Industrial Electronics.

[130]  Chen Liya,et al.  Object extraction using Kohonen neural network , 1995 .

[131]  J. Farkas,et al.  Generating document clusters using thesauri and neural networks , 1994, 1994 Proceedings of Canadian Conference on Electrical and Computer Engineering.

[132]  Uday R. Kulkarni,et al.  Dynamic grouping of parts in flexible manufacturing systems : a self-organizing neural networks approach , 1995 .

[133]  H. P. Siemon.  Selection of Optimal Parameters for Kohonen Self-organizing Feature Maps , 1992 .

[134]  Olli Simula,et al.  Neural detection of QAM modulation in the presence of interference , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

[135]  J. S. Shang,et al.  A neural network approach for the real time control of a FMS , 1994, 1994 Proceedings of the Twenty-Seventh Hawaii International Conference on System Sciences.

[136]  Jean-Didier Legat,et al.  Analog storage of adjustable synaptic weights , 1992, Defense, Security, and Sensing.

[137]  Shigeru Katagiri,et al.  LVQ-based shift-tolerant phoneme recognition , 1991, IEEE Trans. Signal Process..

[138]  Jouko Lampinen,et al.  Distortion tolerant pattern recognition based on self-organizing feature extraction , 1995, IEEE Trans. Neural Networks.

[139]  Bernd Fritzke,et al.  Growing cell structures--A self-organizing network for unsupervised and supervised learning , 1994, Neural Networks.

[140]  Klaus Schulten,et al.  Large-Scale Simulation of a Self-organizing Neural Network: Formation of a Somatotopic Map , 1989 .

[141]  James C. Bezdek.  Self-organization and clustering algorithms , 1991 .

[142]  H. Kuwano,et al.  Applying a self-organizing map to sensor-array characterization , 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

[143]  V.Z. Kepuska,et al.  The Kohonen net for speaker dependent isolated word recognition , 1988, [1988] Proceedings. The Twentieth Southeastern Symposium on System Theory.

[144]  Shigeru Katagiri,et al.  GPD training of dynamic programming-based speech recognizers , 1992 .

[145]  B. Hochet,et al.  GENERATION OF LEARNING NEIGHBOURHOOD IN KOHONEN FEATURE MAPS BY MEANS OF SIMPLE NONLINEAR NETWORK , 1991 .

[146]  R. Der,et al.  A new quantitative measure of topology preservation in Kohonen's feature maps , 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

[147]  T. Takeda,et al.  Parallel computing algorithm of neural networks on an eight-neighbor processor array , 1993, Proceedings of Phoenix Conference on Computers and Communications.

[148]  Edgar Sanchez-Sinencio,et al.  Analog fault diagnosis based on ramping power supply current signature clusters , 1996 .

[149]  Brigitte Colnet,et al.  The use of non-supervised neural networks to detect lines in lofargram , 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

[150]  D. P. Taylor,et al.  Neural Network Channel Equalization , 1994 .

[151]  T. Kohonen,et al.  New developments and applications of self-organizing maps , 1996, Proceedings of International Workshop on Neural Networks for Identification, Control, Robotics and Signal/Image Processing.

[152]  Marco Budinich,et al.  A Self-Organizing Neural Network for the Traveling Salesman Problem That Is Competitive with Simulated Annealing , 1996, Neural Computation.

[153]  Nigel M. Allinson,et al.  Face recognition: combining cognitive psychology and image engineering , 1992 .

[154]  Theo Geisel,et al.  Analysis of ocular dominance pattern formation in a high-dimensional self-organizing-map model , 1997 .

[155]  J. C. Scholtes.  Recurrent Kohonen Self-Organization in Natural Language Processing , 1991 .

[156]  André Csillaghy.  Information extraction by local density analysis , 1997 .

[157]  Olaf Breidbach,et al.  Self-organized feature maps and information theory , 1997 .

[158]  B. Solaiman,et al.  A hybrid algorithm (HLVQ) combining unsupervised and supervised learning approaches , 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

[159]  I. M. Bell,et al.  Application of Kohonen and supervised forced organisation maps to fault diagnosis in CMOS opamps , 1994 .

[160]  Piero Cosi,et al.  Auditory modelling and self‐organizing neural networks for timbre classification , 1994 .

[161]  Ali A. Sadeghi,et al.  Self-organization property of Kohonen's map with general type of stimuli distribution , 1998, Neural Networks.

[162]  Teuvo Kohonen,et al.  Speech recognition: a hybrid approach , 1998 .

[163]  P K Hopke,et al.  Multiple site receptor modeling with a minimal spanning tree combined with a neural network. , 1994, Environmental science & technology.

[164]  S. Lutrell.  Code Vector Density in Topographic Mappings , 1992 .

[165]  Hong Yan,et al.  Handwritten numeral recognition using a small number of fuzzy rules with optimized defuzzification parameters , 1995, Neural Networks.

[166]  Paul Dalsgaard,et al.  Speech database annotation. the importance of a multi-lingual approach , 1993, EUROSPEECH.

[167]  Thomas Martinetz,et al.  Topology representing networks , 1994, Neural Networks.

[168]  Olli Simula,et al.  Neural detection of QAM signal with strongly nonlinear receiver , 1998, Neurocomputing.

[169]  Tet Hin Yeap,et al.  Neural network for image compression , 1992, Defense, Security, and Sensing.

[170]  José B. Mariño,et al.  A Speech Recognition System that Integrates Neural Nets and HMM , 1991, IWANN.

[171]  O. G. Jakubowicz.  Multi-layer multi-feature map architecture for situational analysis , 1989, International 1989 Joint Conference on Neural Networks.

[172]  Maurizio Cirrincione,et al.  A neural network architecture for static security mapping in power systems , 1996, Proceedings of 8th Mediterranean Electrotechnical Conference on Industrial Applications in Power Systems, Computer Science and Telecommunications (MELECON 96).

[173]  Karin Haese.  Optimizing the Self-Organizing-Process of Topology Maps , 1997, Fuzzy Days.

[174]  B. Nickolay,et al.  Practical applications of neural networks in texture analysis , 1996, Neurocomputing.

[175]  Yianni Attikiouzel,et al.  Self-organized color image quantization for color image data compression , 1993, IEEE International Conference on Neural Networks.

[176]  Morteza Saheb Zamani,et al.  A neural network approach to the placement problem , 1995, ASP-DAC '95.

[177]  Suchendra M. Bhandarkar,et al.  A multilayer self-organizing feature map for range image segmentation , 1995, Neural Networks.

[178]  M. Duranton,et al.  A general purpose digital architecture for neural network simulations , 1989 .

[179]  Shigeru Katagiri,et al.  A minimum-distortion segmentation/LVQ hybrid algorithm for speech recognition , 1993 .

[180]  J. Sirosh.  Self-Organization with Lateral Connections , 1992 .

[181]  Erkki Oja,et al.  Self - Organizing Maps and Computer Vision , 1992 .

[182]  M Feinsod,et al.  A comparison of neural network and Bayes recognition approaches in the evaluation of the brainstem trigeminal evoked potentials in multiple sclerosis. , 1996, International Journal of Bio-Medical Computing.

[183]  Y. Cheng,et al.  Clustering with competing self-organizing maps , 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.

[184]  G. D. Xistris,et al.  SELF-ORGANISING NEURAL NETWORKS FOR AUTOMATED MACHINERY MONITORING SYSTEMS , 1996 .

[185]  Hisahito Ogawa,et al.  Optical neural network having a function of relative feature extraction without inhibitory connections , 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

[186]  Michel Verleysen,et al.  Kohonen maps versus vector quantization for data analysis , 1997, ESANN.

[187]  Olli Simula,et al.  Performance of two neural receiver structures in the presence of co-channel interference , 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

[188]  Jari Kangas,et al.  PATTERN RECOGNITION OF HOARSE AND HEALTHY VOICES BY THE SELF-ORGANIZING MAP , 1991 .

[189]  Juan K. Lin,et al.  Faithful Representation of Separable Distributions , 1997, Neural Computation.

[190]  L. Behera,et al.  Real-time navigation of a mobile robot using Kohonen's topology conserving neural network , 1997, 1997 8th International Conference on Advanced Robotics. Proceedings. ICAR'97.

[191]  J. V. Hanson,et al.  Competitive learning and winning-weighted competition for optimal vector quantizer design , 1993, Neural Networks for Signal Processing III - Proceedings of the 1993 IEEE-SP Workshop.

[192]  Bernard Angéniol,et al.  Self-organizing feature maps and the travelling salesman problem , 1988, Neural Networks.

[193]  P. Blonda,et al.  Comparison of backpropagation, cascade-correlation and Kokonen algorithms for cloud retrieval , 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

[194]  P. van der Smagt,et al.  The locally linear nested network for robot manipulation , 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

[195]  Antti Koski.  Primitive coding of structural ECG features , 1996, Pattern Recognit. Lett..

[196]  Xia Shaowei,et al.  A hybrid approach to unconstrained handwritten numerals recognition , 1996, Proceedings of Third International Conference on Signal Processing (ICSP'96).

[197]  R. Chevallier,et al.  Comparative Study of Neural Networks and Non Parametric Statistical Methods for Off-Line Handwritten Character Recognition , 1992 .

[198]  Ralf Der,et al.  Constructing principal manifolds in sparse data sets by self-organizing maps with self-regulating neighborhood width , 1996, Proceedings of International Conference on Neural Networks (ICNN'96).

[199]  Stelios C. A. Thomopoulos,et al.  Comparative Study of Self-Organizing Neural Networks , 1993, IWANN.

[200]  M. Sedláček,et al.  Self-Organizing Fuzzy Controller with Neural Network , 1992 .

[201]  Risto Miikkulainen,et al.  Incremental grid growing: encoding high-dimensional structure into a two-dimensional feature map , 1993, IEEE International Conference on Neural Networks.

[202]  T. Mita,et al.  Fuzzy adaptive control with an associative memory system , 1991 .

[203]  John Hallam,et al.  Location Recognition in a Mobile Robot Using Self-Organising Feature Maps , 1991 .

[204]  Dit-Yan Yeung,et al.  Gabriel networks: self-organizing neural networks for adaptive vector quantization , 1994, Proceedings of ICSIPNN '94. International Conference on Speech, Image Processing and Neural Networks.

[205]  Yoh-Han Pao,et al.  Adaptive pattern recognition and neural networks , 1989 .

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