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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
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Title
Advances in Neural Networks – ISNN 2012
Published by
Springer Berlin Heidelberg, July 2012
DOI 10.1007/978-3-642-31346-2
ISBNs
978-3-64-231345-5, 978-3-64-231346-2
Editors

Wang, Jun, Yen, Gary G., Polycarpou, Marios M.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Unknown 80 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 7%
Student > Ph. D. Student 5 6%
Researcher 3 4%
Student > Postgraduate 2 2%
Professor 2 2%
Other 2 2%
Unknown 61 75%
Readers by discipline Count As %
Computer Science 10 12%
Engineering 9 11%
Medicine and Dentistry 1 1%
Unknown 61 75%