Advances in Swarm Intelligence
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[1] Hong Yan,et al. Missing value imputation for gene expression data: computational techniques to recover missing data from available information , 2011, Briefings Bioinform..
[2] Sandhya Samarasinghe,et al. Neural Networks for Applied Sciences and Engineering , 2006 .
[3] Sam Kwong,et al. Gbest-guided artificial bee colony algorithm for numerical function optimization , 2010, Appl. Math. Comput..
[4] S. Sumathi,et al. Computational Intelligence Paradigms: Theory & Applications using MATLAB , 2010 .
[5] José A. Macías,et al. Evolution of functional link networks , 2001, IEEE Trans. Evol. Comput..
[6] Rozaida Ghazali,et al. A Modified Artificial Bee Colony Optimization for Functional Link Neural Network Training , 2013, DaEng.
[7] Kay Chen Tan,et al. Dynamic Multiobjective Optimization Using Evolutionary Algorithm with Kalman Filter , 2013 .
[8] Raúl Rojas,et al. Neural Networks - A Systematic Introduction , 1996 .
[9] Janez Brest,et al. A comprehensive review of firefly algorithms , 2013, Swarm Evol. Comput..
[10] Jörg Rainer Noennig,et al. Parametric Ideation: Interactive Modeling of Cognitive Processes , 2013, HCI.
[11] Gai-Ge Wang,et al. An Effective Hybrid Firefly Algorithm with Harmony Search for Global Numerical Optimization , 2013, TheScientificWorldJournal.
[12] Colin Giles,et al. Learning, invariance, and generalization in high-order neural networks. , 1987, Applied optics.
[13] Rozaida Ghazali,et al. Optimizing Functional Link Neural Network Learning Using Modified Bee Colony on Multi-class Classifications , 2014 .
[14] J. Schafer,et al. Missing data: our view of the state of the art. , 2002, Psychological methods.
[15] Rozaida Ghazali,et al. Using Artificial Bee Colony to Improve Functional Link Neural Network Training , 2012 .
[16] Teresa A. Myers. Goodbye, Listwise Deletion: Presenting Hot Deck Imputation as an Easy and Effective Tool for Handling Missing Data , 2011 .
[17] Sung-Bae Cho,et al. A comprehensive survey on functional link neural networks and an adaptive PSO–BP learning for CFLNN , 2010, Neural Computing and Applications.
[18] Russell C. Eberhart,et al. Neural network PC tools: a practical guide , 1990 .
[19] Una-May O'Reilly,et al. Genr8: Architects' Experience with an Emergent Design Tool , 2008, The Art of Artificial Evolution.
[20] Xin-She Yang,et al. Firefly Algorithms for Multimodal Optimization , 2009, SAGA.
[21] Stef van Buuren,et al. Flexible Imputation of Missing Data , 2012 .
[22] Dervis Karaboga,et al. AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION , 2005 .
[23] D. Karaboga,et al. On the performance of artificial bee colony (ABC) algorithm , 2008, Appl. Soft Comput..
[24] Y. Takefuji,et al. Functional-link net computing: theory, system architecture, and functionalities , 1992, Computer.
[25] Ana Lilia Laureano-Cruces,et al. Formal verification of multi-agent systems behaviour emerging from cognitive task analysis , 2003, J. Exp. Theor. Artif. Intell..
[26] Plamen P. Angelov,et al. Uniformly Stable Backpropagation Algorithm to Train a Feedforward Neural Network , 2011, IEEE Transactions on Neural Networks.
[27] Milan Tuba,et al. Firefly Algorithm for Cardinality Constrained Mean-Variance Portfolio Optimization Problem with Entropy Diversity Constraint , 2014, TheScientificWorldJournal.
[28] B. B. Misra,et al. Functional Link Artificial Neural Network for Classification Task in Data Mining , 2007 .
[29] Dervis Karaboga,et al. A novel clustering approach: Artificial Bee Colony (ABC) algorithm , 2011, Appl. Soft Comput..