Advances in Neural Networks -- ISNN 2010 : 7th International Symposium on Neural Networks, ISNN 2010, Shanghai, China, June 6-9, 2010, Proceedings, Part I

by Zhang, Liqing; Lu, Bao-liang; Kwok, James

• ISBN13: 9783642132773
• ISBN10: 3642132774
• Edition: 1st
• Format: Paperback
• Copyright: 2010-06-13
• Publisher: Springer-Verlag New York Inc

Summary

This book and its sister volume constitutes the proceedings of the 7th International Symposium on Neural Networks, ISNN 2010, held in Shanghai, China, June 6-9, 2010. The 170 revised full papers of Part I and Part II were carefully selected from 591 submissions and focus on topics such as Neurophysiological Foundation, Theory and Models, Learning and Inference, and Neurodynamics. The second volume, Part II (LNCS 6064) covers the following 5 topics: SVM and Kernel Methods, Vision and Image, Data Mining and Text Analysis, BCI and Brain Imaging, and applications.

Table of Contents

Neurophysiological Foundation
Stimulus-Dependent Noise Facilitates Tracking Performances of Neuronal Networks	p. 1
Range Parameter Induced Bifurcation in a Single Neuron Model with Delay-Dependent Parameters	p. 9
Messenger RNA Polyadenylation Site Recognition in Green Alga Chlamydomonas Reinhardtii	p. 17
A Study to Neuron Ensemble of Cognitive Cortex ISI Coding Represent Stimulus	p. 27
STDP within NDS Neurons	p. 33
Synchronized Activities among Retinal Ganglion Cells in Response to External Stimuli	p. 44
Novel Method to Discriminate Awaking and Sleep Status in Light of the Power Spectral Density	p. 51
Current Perception Threshold Measurement via Single Channel Electroencephalogram Based on Confidence Algorithm	p. 58
Electroantennogram Obtained from Honeybee Antennae for Odor Detection	p. 63
A Possible Mechanism for Controlling Timing Representation in the Cerebellar Cortex	p. 67
Theory and Models
Parametric Sensitivity and Scalability of k-Winners-Take-All Networks with a Single State Variable and Infinity-Gain Activation Functions	p. 77
Extension of the Generalization Complexity Measure to Real Valued Input Data Sets	p. 86
A New Two-Step Gradient-Based Backpropagation Training Method for Neural Networks	p. 95
A Large-Update Primal-Dual Interior-Point Method for Second-Order Cone Programming	p. 102
A One-Step Smoothing Newton Method Based on a New Class of One-Parametric Nonlinear Complementarity Functions for P0-NCP	p. 110
A Neural Network Algorithm for Solving Quadratic Programming Based on Fibonacci Method	p. 118
A Hybrid Particle Swarm Optimization Algorithm Based on Nonlinear Simplex Method and Tabu Search	p. 126
Fourier Series Chaotic Neural Networks	p. 136
Multi-objective Optimization of Grades Based on Soft Computing	p. 144
Connectivity Control Methods and Decision Algorithms Using Neural Network in Decentralized Networks	p. 152
A Quantum-Inspired Artificial Immune System for Multiobjective 0-1 Knapsack Problems	p. 161
RBF Neural Network Based on Particle Swarm Optimization	p. 169
Genetic-Based Granular Radial Basis Function Neural Network	p. 177
A Closed-Form Solution to the Problem of Averaging over the Lie Group of Special Orthogonal Matrices	p. 185
A Lower Order Discrete-Time Recurrent Neural Network for Solving High Order Quadratic Problems with Equality Constraints	p. 193
A Experimental Study on Space Search Algorithm in ANFIS-Based Fuzzy Models	p. 199
Optimized FCM-Based Radial Basis Function Neural Networks: A Comparative Analysis of LSE and WLSE Method	p. 207
Design of Information Granulation-Based Fuzzy Radial Basis Function Neural Networks Using NSGA-II	p. 215
Practical Criss-Cross Method for Linear Programming	p. 223
Calculating the Shortest Paths by Matrix Approach	p. 230
A Particle Swarm Optimization Heuristic for the Index Tacking Problem	p. 238
Structural Design of Optimized Polynomial Radial Basis Function Neural Networks	p. 246
Convergence of the Projection-Based Generalized Neural Network and the Application to Nonsmooth Optimization Problems	p. 254
Two-Dimensional Adaptive Growing CMAC Network	p. 262
A Global Inferior-Elimination Thermodynamics Selection Strategy for Evolutionary Algorithm	p. 272
Particle Swarm Optimization Based Learning Method for Process Neural Networks	p. 280
Interval Fitness Interactive Genetic Algorithms with Variational Population Size Based on Semi-supervised Learning	p. 288
Research on One-Dimensional Chaos Maps for Fuzzy Optimal Selection Neural Network	p. 296
Edited Nearest Neighbor Rule for Improving Neural Networks Classifications	p. 303
A New Algorithm for Generalized Wavelet Transform	p. 311
Neural Networks Algorithm Based on Factor Analysis	p. 319
IterativeSOMSO: An Iterative Self-organizing Map for Spatial Outlier Detection	p. 325
A Novel Method of Neural Network Optimized Design Based on Biologic Mechanism	p. 331
Research on a Novel Ant Colony Optimization Algorithm	p. 339
A Sparse Infrastructure of Wavelet Network for Nonparametric Regression	p. 347
Information Distances over Clusters	p. 355
Learning and Inference
Regression Transfer Learning Based on Principal Curve	p. 365
Semivariance Criteria for Quantifying the Choice among Uncertain Outcomes	p. 373
Enhanced Extreme Learning Machine with Modified Gram-Schmidt Algorithm	p. 381
Solving Large N-Bit Parity Problems with the Evolutionary ANN Ensemble	p. 389
Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries	p. 396
Local Bayesian Based Rejection Method for HSC Ensemble	p. 404
Orthogonal Least Squares Based on Singular Value Decomposition for Spare Basis Selection	p. 413
Spectral Clustering on Manifolds with Statistical and Geometrical Similarity	p. 422
A Supervised Fuzzy Adaptive Resonance Theory with Distributed Weight Update	p. 430
A Hybrid Neural Network Model Based Reinforcement Learning Agent	p. 436
A Multi-view Regularization Method for Semi-supervised Learning	p. 444
Multi-reservoir Echo State Network with Sparse Bayesian Learning	p. 450
Leave-One-Out Cross-Validation Based Model Selection for Manifold Regularization	p. 457
Probability Density Estimation Based on Nonparametric Local Kernel Regression	p. 465
A Framework of Decision Making Based on Maximal Supported Sets	p. 473
Neurodynamics
Dynamics of Competitive Neural Networks with Inverse Lipschitz Neuron Activations	p. 483
Stability and Hopf Bifurcation of a BAM Neural Network with Delayed Self-feedback	p. 493
Stability Analysis of Recurrent Neural Networks with Distributed Delays Satisfying Lebesgue-Stieljies Measures	p. 504
Stability of Genetic Regulatory Networks with Multiple Delays via a New Functional	p. 512
The Impulsive Control of the Projective Synchronization in the Drive-Response Dynamical Networks with Coupling Delay	p. 520
Novel LMI Stability Criteria for Interval Hopfield Neural Networks with Time Delays	p. 528
Memetic Evolutionary Learning for Local Unit Networks	p. 534
Synchronization for a Class of Uncertain Chaotic Cellular Neural Networks with Time-Varying Delay	p. 542
Global Exponential Stability of Equilibrium Point of Hopfield Neural Network with Delay	p. 548
Stability of Impulsive Cohen-Grossberg Neural Networks with Delays	p. 554
P-Moment Asymptotic Behavior of Nonautonomous Stochastic Differential Equation with Delay	p. 561
Exponential Stability of the Neural Networks with Discrete and Distributed Time-Varying Delays	p. 569
Mean Square Stability in the Numerical Simulation of Stochastic Delayed Hopfield Neural Networks with Markovian Switching	p. 577
The Existence of Anti-periodic Solutions for High-Order Cohen-Grossberg Neural Networks	p. 585
Global Exponential Stability of BAM Type Cohen-Grossberg Neural Network with Delays on Time Scales	p. 595
Multistability of Delayed Neural Networks with Discontinuous Activations	p. 603
Finite-Time Boundedness Analysis of Uncertain CGNNs with Multiple Delays	p. 611
Dissipativity Analysis of Stochastic Neural Networks with Time-Varying Delays	p. 619
Multistability Analysis: High-Order Networks Do Not Imply Greater Storage Capacity Than First-Order Ones	p. 627
Properties of Periodic Solutions for Common Logistic Model with Discrete and Distributed Delay	p. 635
New Results of Globally Exponentially Attractive Set and Synchronization Controlling of the Qi Chaotic System	p. 643
Stability and Attractive Basin of Delayed Cohen-Grossberg Neural Networks	p. 651
Exponential Stability Analysis for Discrete-Time Stochastic BAM Neural Networks with Time-Varying Delays	p. 659
Invariant and Globally Exponentially Attractive Sets of Separated Variables Systems with Time-Varying Delays	p. 667
Delay-Dependent Stability of Nonlinear Uncertain Stochastic Systems with Time-Varying Delays	p. 675
Stability Analysis of Fuzzy Cohen-Grossberg Neural Networks with Distributed Delays and Reaction-Diffusion Terms	p. 684
Global Exponential Robust Stability of Delayed Hopfield Neural Networks with Reaction-Diffusion Terms	p. 693
Stability and Bifurcation of a Three-Dimension Discrete Neural Network Model with Delay	p. 702
Globally Exponential Stability of a Class of Neural Networks with Impulses and Variable Delays	p. 711
Discrete Time Nonlinear Identification via Recurrent High Order Neural Networks for a Three Phase Induction Motor	p. 719
Stability Analysis for Stochastic BAM Neural Networks with Distributed Time Delays	p. 727
Dissipativity in Mean Square of Non-autonomous Impulsive Stochastic Neural Networks with Delays	p. 735
Stability Analysis of Discrete Hopfield Neural Networks Combined with Small Ones	p. 745
Author Index	p. 753
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