**FREEDownload :** “Trends in Neural Computation” ed. by Ke Chen, Lipo Wang

**"Trends in Neural Computation" ed. by Ke Chen, Lipo Wang***Studies in Computational Intelligence, Volume 35*

S?ring?r | 2007 | ISBN: 3540361219 9783540361213 | 510 pages | PDF | 16 MB

This book reflects the progresses made in different areas of neural computation, including theoretical neural computation, biologically plausible neural modeling, computational cognitive science, artificial neural networks architectures and learning algorithms and their applications in real-world problems.

“Trends in Neural Computation” ed. by Ke Chen, Lipo Wang

Tte book includes twenty chapters either contributed from leading experts or formed by extending well selected papers presented in the 2005 International Conference on Natural Computation.

**Contents**

Preface

1 Hyperbolic Function Networks for Pattern Classification

2 Variable Selection for the Linear Support Vector Machine

3 Selecting Data for Fast Support Vector Machines Training

4 Universal Approach to Study Delayed Dynamical Systems

5 A Hippocampus-Neocortex Model for Chaotic Association

6 Latent Attractors: A General Paradigm for Context-Dependent Neural Computation

7 Learning Mechanisms in Networks of Spiking Neurons

8 GTSOM: Game Theoretic Self-organizing Maps

9 How to Generate Different Neural Networks

10 A Gradient-Based Forward Greedy Algorithm for Space Gaussian Process Regression

11 An Evolved Recurrent Neural Network and Its Application

12 A Min-Max Modular Network with Gaussian-Zero-Crossing Function

13 Combining Competitive Learning Networks of Various Representations for Sequential Data Clustering

14 Modular Neural Networks and Their Applications in Biometrics

15 Performance Analysis of Dynamic Cell Structures

16 Short Term Electric Load Forecasting: A Tutorial

17 Performance Improvement for Formation-Keeping Control Using a Neural Network HJI Approach

18 A Robust Blind Neural Equalizer Based on Higher-Order Cumulants

19 The Artificial Neural Network Applied to Servo Control System

20 Robot Localization Using Vision

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