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Advances in Neural Networks – ISNN 2011

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Cover of 'Advances in Neural Networks – ISNN 2011'

Table of Contents

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    Book Overview
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    Chapter 1 Evaluating Humans’ Implicit Attitudes towards an Embodied Conversational Agent
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    Chapter 2 Robustness of Gamma-Oscillation in Networks of Excitatory and Inhibitory Neurons with Conductance-Based Synapse
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    Chapter 3 Probe the Potts States in the Minicolumn Dynamics
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    Chapter 4 Dependence of Correlated Firing on Strength of Inhibitory Feedback
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    Chapter 5 A New Model to Simulate the Formation of Orientation Columns Map in Visual Cortex
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    Chapter 6 Study on the Synchrony Intensity Threshold of Two Uncoupled Neurons under Different Currents’ Stimulation
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    Chapter 7 Research on Design Method of Small World Property ESN
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    Chapter 8 The ART2 Network Based on Memorizing-Forgetting Mechanism
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    Chapter 9 Application of BP Neural Networks in Prediction of the Material Dynamic Properties
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    Chapter 10 Spaces Enhance Word Segmentation and Comprehension in Tacit Reading
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    Chapter 11 Intelligent Semantic-Based System for Corpus Analysis through Hybrid Probabilistic Neural Networks
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    Chapter 12 Decision-Making in Drosophila with Two Conflicting Cues
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    Chapter 13 Time-Varying Quadratic Programming by Zhang Neural Network Equipped with a Time-Varying Design Parameter γ ( t )
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    Chapter 14 Local and Global Burst Synchronization in a Noisy Small-World Neuronal Network
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    Chapter 15 H  ∞  Synchronization Control in Nonlinear Time-Delay Complex Dynamical Network
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    Chapter 16 Anti-synchronization and Control of New Chen’s Hyperchaotic Systems
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    Chapter 17 Hopf Bifurcation Control for a Single Neuron Model with Delay-Dependent Parameters via State Feedback
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    Chapter 18 Changes in Electroencephalographic Power Spectra Associated with Reproductive Status in Frog
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    Chapter 19 Universal Analysis Method for Stability of Recurrent Neural Networks with Different Multiple Delays
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    Chapter 20 A Class of New Generalized AOR Method for Augmented Systems
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    Chapter 21 Detecting the Topology of a Neural Network from Partially Obtained Data Using Piecewise Granger Causality
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    Chapter 22 A Survey of Signal Propagation in Feedforward Neuronal Networks
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    Chapter 23 Stability of Stochastic Cohen-Grossberg Neural Networks with Mixed Time Delay and Markovian Parameters
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    Chapter 24 Exponential Stability of Stochastic Neural Networks with Mixed Time-Delays
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    Chapter 25 Stability of Neural Networks with Both Impulses and Time-Varying Delays on Time Scale
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    Chapter 26 Synchronization of Nonidentical Chaotic Neural Networks with Time-Varying Delays
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    Chapter 27 Blow-Up for a Class of Parabolic Equations with Nonlinear Boundary Conditions
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    Chapter 28 Cluster Synchronization for Discrete-Time Complex Networks
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    Chapter 29 Stability Analysis of Fourth-Order Chua’s Circuit
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    Chapter 30 A Phase Reduction Method for Weakly Coupled Stochastic Oscillator Systems
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    Chapter 31 Anti-periodic Solutions for High-Order Neural Networks with Mixed Time Delays
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    Chapter 32 Comparisons of Single- and Multiple-Hidden-Layer Neural Networks
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    Chapter 33 Stability of Cohen-Grossberg Neural Networks with Unbounded Time-Varying Delays
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    Chapter 34 Thermal Effects on Phase Response Curves and Synchronization Transition
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    Chapter 35 Robust H  ∞  Filter Design of Delayed Neural Networks
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    Chapter 36 On Metastability of Cellular Neural Networks with Random Perturbations
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    Chapter 37 Fractional-Order Boundary Controller of the Anti-stable Vibration Systems
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    Chapter 38 Existence and Global Stability of Periodic Solutions of Generalized-Brain-State-in-a-Box (GBSB) Neural Models
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    Chapter 39 Neural Network-Based Dynamic Surface Control of Nonlinear Systems with Unknown Virtual Control Coefficient
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    Chapter 40 Stochastic Stability Analysis of Delayed Hopfield Neural Networks with Impulse Effects
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    Chapter 41 New LMI-Based Criteria for Global Robust Stability of Cohen-Grossberg Neural Networks with Time-Varying Delays
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    Chapter 42 Asymptotical Stability of an SEIS Epidemic Model with Latent Age Dependence and Generally Nonlinear Contact Rate
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    Chapter 43 Stochastic Exponential Stability of Cohen-Grossberg Neural Networks with Markovian Jumping Parameters and Mixed Delays
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    Chapter 44 Periodic Solutions for High-Order Cohen-Grossberg-Type BAM Neural Networks with Time-Delays
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    Chapter 45 Simulation and Verification of Zhang Neural Networks and Gradient Neural Networks for Time-Varying Stein Equation Solving
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    Chapter 46 Comparison on Continuous-Time Zhang Dynamics and Newton-Raphson Iteration for Online Solution of Nonlinear Equations
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    Chapter 47 ELM-Based Time-Variant Neural Networks with Incremental Number of Output Basis Functions
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    Chapter 48 Invariant Set and Attractor of Discrete-Time Impulsive Recurrent Neural Networks
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    Chapter 49 Optimal Control for Boiler Combustion System Based on Iterative Heuristic Dynamic Programming
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    Chapter 50 Power System Load Forecasting Based on EEMD and ANN
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    Chapter 51 Analog Circuit Fault Diagnosis with Echo State Networks Based on Corresponding Clusters
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    Chapter 52 Anti Boundary Effect Wavelet Decomposition Echo State Networks
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    Chapter 53 Research on Water Level Optimal Control of Boiler Drum Based on Dual Heuristic Dynamic Programming
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    Chapter 54 Fuzzy Clustering-Based Polynomial Radial Basis Function Neural Networks (p-RBF NNs) Classifier Designed with Particle Swarm Optimization
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    Chapter 55 Application of RBF Neural Network and Nonlinear Particle Filter in the Synthetic Ammonia Decarbornization
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    Chapter 56 Elman-Style Process Neural Network with Application to Aircraft Engine Health Condition Monitoring
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    Chapter 57 A Novel Spatial Architecture Artificial Neural Network Based on Multilayer Feedforward Network with Mutual Inhibition among Hidden Units
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    Chapter 58 sEMG Signal Classification for the Motion Pattern of Intelligent Bionic Artificial Limb
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    Chapter 59 Dynamic Construction of Multilayer Neural Networks for Classification
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    Chapter 60 Existence of Periodic Solutions for Cohen-Grossberg Neural Networks with Time-Varying Delays and Impulses
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    Chapter 61 Telecommunications Data Forecasting Based on a Dynamic Neuro-fuzzy Network
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    Chapter 62 Evolutionary Learning of Regularization Networks with Multi-kernel Units
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    Chapter 63 Solving the Assignment Problem with the Improved Dual Neural Network
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    Chapter 64 Evaluating Model on Effectiveness of Network Defense Missile Based on LMBP Neural Network
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    Chapter 65 A New Neural Network for Solving Nonlinear Programming Problems
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    Chapter 66 The AIC Based on the Neural Network Filter
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    Chapter 67 Ranked Neuro Fuzzy Inference System (RNFIS) for Information Retrieval
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    Chapter 68 The Study on Models Adjustment and Generation Capability of Artificial Neural Network
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    Chapter 69 View Construction for Multi-view Semi-supervised Learning
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    Chapter 70 Fast Learning Fully Complex-Valued Classifiers for Real-Valued Classification Problems
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    Chapter 71 Urban Stormwater Runoff Prediction Using Recurrent Neural Networks
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    Chapter 72 Maximal-Margin Approach for Cost-Sensitive Learning Based on Scaled Convex Hull
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    Chapter 73 Erratum: Decision-Making in Drosophila with Two Conflicting Cues
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Title
Advances in Neural Networks – ISNN 2011
Published by
Springer Berlin Heidelberg, May 2011
DOI 10.1007/978-3-642-21105-8
ISBNs
978-3-64-221104-1, 978-3-64-221105-8
Editors

Liu, Derong, Zhang, Huaguang, Polycarpou, Marios, Alippi, Cesare, He, Haibo

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 4%
Researcher 1 4%
Unknown 24 92%
Readers by discipline Count As %
Neuroscience 1 4%
Engineering 1 4%
Unknown 24 92%

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