Advances in Neural Networks -- ISNN 2011: 8th International Symposium on Neural Networks, ISNN 2011, Guilin, China, May 29--June 1, 2011, Proceedings
Derong Liu, Huaguang Zhang, Marios Polycarpou, Cesare Alippi, Haibo He
Springer Science & Business Media, May 10, 2011 - Computers - 634 pages
The three-volume set LNCS 6675, 6676 and 6677 constitutes the refereed proceedings of the 8th International Symposium on Neural Networks, ISNN 2011, held in Guilin, China, in May/June 2011.
The total of 215 papers presented in all three volumes were carefully reviewed and selected from 651 submissions. The contributions are structured in topical sections on computational neuroscience and cognitive science; neurodynamics and complex systems; stability and convergence analysis; neural network models; supervised learning and unsupervised learning; kernel methods and support vector machines; mixture models and clustering; visual perception and pattern recognition; motion, tracking and object recognition; natural scene analysis and speech recognition; neuromorphic hardware, fuzzy neural networks and robotics; multi-agent systems and adaptive dynamic programming; reinforcement learning and decision making; action and motor control; adaptive and hybrid intelligent systems; neuroinformatics and bioinformatics; information retrieval; data mining and knowledge discovery; and natural language processing.
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activation function algorithm analysis Artificial Neural Networks asymptotic stability basis functions Berlin Heidelberg 2011 Chen China classifiers coefficient Cohen-Grossberg neural networks complex computational convergence CTZD defined delayed neural networks denotes dynamic Echo State Networks EPNN equation equilibrium point error ESNs excitatory exist exponential stability feedback feedforward forecasting Fuzzy globally exponentially Granger causality hidden layer IEEE IEEE Trans inhibitory ISNN iteration Lemma linear LNCS Lyapunov Lyapunov function matrix method network model networks with time-varying neurons nodes noise nonlinear obtained optimization oscillations output layer paper parameters particle filter pattern periodic solution phase prediction problem programming propagation proposed quadratic quadratic program RBF neural network recurrent neural networks samples Science signal simulation solving spiking Springer-Verlag Berlin Heidelberg stochastic stochastic oscillator synaptic Technology Theorem time-varying delays University vector Wang weight Zhang