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Advances in Neural Networks – ISNN 2012

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Table of Contents

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    Book Overview
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    Chapter 1 Attractor Neural Network Combined with Likelihood Maximization Algorithm for Boolean Factor Analysis
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    Chapter 2 Pruning Feedforward Neural Network Search Space Using Local Lipschitz Constants
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    Chapter 3 Context FCM-Based Radial Basis Function Neural Networks with the Aid of Fuzzy Clustering
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    Chapter 4 Modeling Spectral Data Based on Mutual Information and Kernel Extreme Learning Machines
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    Chapter 5 A Hierarchical Neural Network Architecture for Classification
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    Chapter 6 Discrete-Time ZNN Algorithms for Time-Varying Quadratic Programming Subject to Time-Varying Equality Constraint
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    Chapter 7 Patch Processing for Relational Learning Vector Quantization
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    Chapter 8 A Neural Network Model for Currency Arbitrage Detection
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    Chapter 9 A Rank Reduced Matrix Method in Extreme Learning Machine
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    Chapter 10 Research of Dynamic Load Identification Based on Extreme Learning Machine
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    Chapter 11 Fuzzy Relation-Based Polynomial Neural Networks Based on Hybrid Optimization
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    Chapter 12 Time-Varying Moore-Penrose Inverse Solving Shows Different Zhang Functions Leading to Different ZNN Models
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    Chapter 13 A Multi-object Segmentation Algorithm Based on Background Modeling and Region Growing
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    Chapter 14 Reflectance Estimation Using Local Regression Methods
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    Chapter 15 Applying a Novel Decision Rule to the Semi-supervised Clustering Method Based on One-Class SVM
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    Chapter 16 State Estimation of Markovian Jump Neural Networks with Mixed Time Delays
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    Chapter 17 Lattice Boltzmann Model for Nonlinear Heat Equations
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    Chapter 18 A Modified One-Layer Spiking Neural Network Involves Derivative of the State Function at Firing Time
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    Chapter 19 Modeling and Monitoring of Multimodes Process
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    Chapter 20 Data-Based Modeling and Monitoring for Multimode Processes Using Local Tangent Space Alignment
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    Chapter 21 Modeling Rate-Dependent and Thermal-Drift Hysteresis through Preisach Model and Neural Network Optimization Approach
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    Chapter 22 The Neuron’s Modeling Methods Based on Neurodynamics
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    Chapter 23 Stability Analysis of Multiple Equilibria for Recurrent Neural Networks
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    Chapter 24 Addressing the Local Minima Problem by Output Monitoring and Modification Algorithms
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    Chapter 25 Stability Analysis and Hopf-Type Bifurcation of a Fractional Order Hindmarsh-Rose Neuronal Model
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    Chapter 26 Study on Decision Algorithm of Neurons’ Synchronization Based on Neurodynamics
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    Chapter 27 The SMC Approach to Global Synchronization of the Cellular Neural Networks with Multi-delays and Distributed Delays
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    Chapter 28 A Novel Feature Sparsification Method for Kernel-Based Approximate Policy Iteration
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    Chapter 29 Quasi-synchronization of Different Fractional-Order Chaotic Systems with External Perturbations and Its Application
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    Chapter 30 Synchronization of Complex Interconnected Neural Networks with Adaptive Coupling
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    Chapter 31 Advances in Neural Networks – ISNN 2012
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    Chapter 32 Hybrid Synchronization of Two Delayed Systems with Uncertain Parameters
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    Chapter 33 Adaptive Projective Synchronization and Function Projective Synchronization of Chaotic Neural Networks with Delayed and Non-delayed Coupling
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    Chapter 34 Global Asymptotic Synchronization of Coupled Interconnected Recurrent Neural Networks via Pinning Control
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    Chapter 35 Mean Square Stability of Stochastic Impulsive Genetic Regulatory Networks with Mixed Time-Delays
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    Chapter 36 Mesh Exponential Stability of Look-Ahead Vehicle Following System with Time Delays
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    Chapter 37 Global Dissipativity of Neural Networks with Time-Varying Delay and Leakage Delay
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    Chapter 38 Novel Results on Mesh Stability for a Class of Vehicle Following System with Time Delays
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    Chapter 39 Robust Stability Analysis of Fuzzy Cohen-Grossberg Neural Networks with Mixed Time-Varying Delay
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    Chapter 40 Adaptive Stochastic Robust Convergence of Neutral-Type Neural Networks with Markovian Jump Parameters
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    Chapter 41 A New Global Asymptotic Stability of Cellular Neural Network with Time-Varying Discrete and Distributed Delays
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    Chapter 42 Localizing Sources of Brain Activity Relevant to Motor Imagery Brain-Computer Interface Performance, Using Individual Head Geometry
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    Chapter 43 Clustering Social Networks Using Interaction Semantics and Sentics
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    Chapter 44 Ontology-Based Semantic Affective Tagging
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    Chapter 45 Dominance Detection in a Reverberated Acoustic Scenario
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    Chapter 46 Analysis of Attention Deficit Hyperactivity Disorder and Control Participants in EEG Using ICA and PCA
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    Chapter 47 A Systematic Independent Component Analysis Approach to Extract Mismatch Negativity
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    Chapter 48 A Study of Sickness Induced by Perceptual Conflict in the Elderly within a 3D Virtual Store and Avoidance
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    Chapter 49 A Co-adaptive Training Paradigm for Motor Imagery Based Brain-Computer Interface
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    Chapter 50 Overcoming the Local-Minimum Problem in Training Multilayer Perceptrons with the NRAE Training Method
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    Chapter 51 Magnified Gradient Function to Improve First-Order Gradient-Based Learning Algorithms
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    Chapter 52 Sensitivity Analysis with Cross-Validation for Feature Selection and Manifold Learning
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    Chapter 53 Selective Ensemble of Support Vector Data Descriptions for Novelty Detection
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    Chapter 54 Tutorial and Selected Approaches on Parameter Learning in Bayesian Network with Incomplete Data
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    Chapter 55 Selective Ensemble Modeling Parameters of Mill Load Based on Shell Vibration Signal
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    Chapter 56 Selective Weight Update Rule for Hybrid Neural Network
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    Chapter 57 Applying Ensemble Learning Techniques to ANFIS for Air Pollution Index Prediction in Macau
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    Chapter 58 A PSO-SVM Based Model for Alpha Particle Activity Prediction Inside Decommissioned Channels
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    Chapter 59 Training Pool Selection for Semi-supervised Learning
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    Chapter 60 A Rapid Sparsification Method for Kernel Machines in Approximate Policy Iteration
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    Chapter 61 Computational Properties of Cyclic and Almost-Cyclic Learning with Momentum for Feedforward Neural Networks
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    Chapter 62 A Hybrid Evolving and Gradient Strategy for Approximating Policy Evaluation on Online Critic-Actor Learning
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    Chapter 63 Preventing Error Propagation in Semi-supervised Learning
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    Chapter 64 An Incremental Approach to Support Vector Machine Learning
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    Chapter 65 Multi-phase Fast Learning Algorithms for Solving the Local Minimum Problem in Feed-Forward Neural Networks
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    Chapter 66 Skull-Closed Autonomous Development: Object-Wise Incremental Learning
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    Chapter 67 MaxMin-SOMO: An SOM Optimization Algorithm for Simultaneously Finding Maximum and Minimum of a Function
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    Chapter 68 Hybrid Algorithm Based on Particle Swarm Optimization and Artificial Fish Swarm Algorithm
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    Chapter 69 The High Degree Seeking Algorithms with k Steps for Complex Networks
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    Chapter 70 Advances in Neural Networks – ISNN 2012
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    Chapter 71 An Improved Chaotic Ant Colony Algorithm
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    Chapter 72 A Game Based Approach for Sharing the Data Center Network
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    Chapter 73 Optimal Task and Energy Scheduling in Dynamic Residential Scenarios
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    Chapter 74 Biogeography Based Optimization for Multi-Knapsack Problems
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    Chapter 75 MRKDSBC: A Distributed Background Modeling Algorithm Based on MapReduce
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    Chapter 76 Erratum: Research of Dynamic Load Identification Based on Extreme Learning Machine
Attention for Chapter 35: Mean Square Stability of Stochastic Impulsive Genetic Regulatory Networks with Mixed Time-Delays
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Chapter title
Mean Square Stability of Stochastic Impulsive Genetic Regulatory Networks with Mixed Time-Delays
Chapter number 35
Book title
Advances in Neural Networks – ISNN 2012
Published by
Springer, Berlin, Heidelberg, July 2012
DOI 10.1007/978-3-642-31346-2_35
Book ISBNs
978-3-64-231345-5, 978-3-64-231346-2
Authors

Zhanheng Chen, Haijun Jiang