Alopex: A Correlation-Based Learning Algorithm for Feedforward and Recurrent Neural Networks
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[1] Y. T. Li,et al. Principles of optimalizing control systems and an application to the internal combusion engine , 1951 .
[2] J. Orbach. Principles of Neurodynamics. Perceptrons and the Theory of Brain Mechanisms. , 1962 .
[3] E Harth,et al. Alopex: a stochastic method for determining visual receptive fields. , 1974, Vision research.
[4] C. D. Gelatt,et al. Optimization by Simulated Annealing , 1983, Science.
[5] E. Harth,et al. Brainstem control of sensory information: a mechanism for perception. , 1985, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[6] A G Barto,et al. Learning by statistical cooperation of self-interested neuron-like computing elements. , 1985, Human neurobiology.
[7] Geoffrey E. Hinton,et al. Learning internal representations by error propagation , 1986 .
[8] Geoffrey E. Hinton,et al. Learning symmetry groups with hidden units: beyond the perceptron , 1986 .
[9] Matthew Clinton Michaelis. Learning in a hierarchical neural network , 1986 .
[10] Andrew G. Barto,et al. Game-theoretic cooperativity in networks of self-interested units , 1987 .
[11] E Harth,et al. The inversion of sensory processing by feedback pathways: a model of visual cognitive functions. , 1987, Science.
[12] Eric B. Baum,et al. Supervised Learning of Probability Distributions by Neural Networks , 1987, NIPS.
[13] J. J. Hopfield,et al. Learning algorithms andprobability distributions infeed-forward andfeed-back networks , 1987 .
[14] Snehasis Mukhopadhyay,et al. Associative learning of Boolean functions , 1989, IEEE Trans. Syst. Man Cybern..
[15] Kumpati S. Narendra,et al. Learning automata - an introduction , 1989 .
[16] Carsten Peterson,et al. Explorations of the mean field theory learning algorithm , 1989, Neural Networks.
[17] Geoffrey E. Hinton. Connectionist Learning Procedures , 1989, Artif. Intell..
[18] Ronald J. Williams,et al. A Learning Algorithm for Continually Running Fully Recurrent Neural Networks , 1989, Neural Computation.
[19] Kurt Hornik,et al. Multilayer feedforward networks are universal approximators , 1989, Neural Networks.
[20] D. Ts'o,et al. Functional organization of primate visual cortex revealed by high resolution optical imaging. , 1990, Science.
[21] E. W. Kairiss,et al. Hebbian synapses: biophysical mechanisms and algorithms. , 1990, Annual review of neuroscience.
[22] Bernard Widrow,et al. 30 years of adaptive neural networks: perceptron, Madaline, and backpropagation , 1990, Proc. IEEE.
[23] Thomas Kailath,et al. Model-free distributed learning , 1990, IEEE Trans. Neural Networks.
[24] A. Antonini,et al. Pioneer neurons and target selection in cerebral cortical development. , 1990, Cold Spring Harbor symposia on quantitative biology.
[25] Abhijit S. Pandya,et al. Continuous recognition of sonar targets using neural networks , 1991, Defense, Security, and Sensing.
[26] John J. Hopfield,et al. Connected-digit speaker-dependent speech recognition using a neural network with time-delayed connections , 1991, IEEE Trans. Signal Process..
[27] Marwan A. Jabri,et al. Weight Perturbation: An Optimal Architecture and Learning Technique for Analog VLSI Feedforward and Recurrent Multilayer Networks , 1991, Neural Comput..
[28] Sebastian Thrun,et al. The MONK''s Problems-A Performance Comparison of Different Learning Algorithms, CMU-CS-91-197, Sch , 1991 .
[29] K. P. Unnikrishnan,et al. Learning in connectionist networks using the Alopex algorithm , 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.
[30] Ron Meir,et al. A Parallel Gradient Descent Method for Learning in Analog VLSI Neural Networks , 1992, NIPS.
[31] K. P. Unnikrishnan,et al. A feedback model of visual attention , 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.
[32] Abhijit S. Pandya,et al. Invariant recognition of 2-D objects using Alopex neural networks , 1992, Defense, Security, and Sensing.
[33] K. P. Unnikrishnan,et al. Dynamical Control of Visual Attention Through Feedback Pathways: A Network Model , 1993 .
[34] H. S. Nine,et al. The Role of Subplate Feedback in the Development of Ocular Dominance Columns , 1993 .
[35] Abhijit S. Pandya,et al. A recurrent neural network controller and learning algorithm for the on-line learning control of autonomous underwater vehicles , 1994, Neural Networks.
[36] E. Micheli-Tzanakou,et al. Alopex neural networks for manual alphabet recognition , 1994, Proceedings of 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[37] Evor L. Hines,et al. Integer-weight neural nets , 1994 .
[38] P. S. Sastry,et al. Memory neuron networks for identification and control of dynamical systems , 1994, IEEE Trans. Neural Networks.