Neural Information Processing: Research and Development

✍ Scribed by Raul C. Muresan (auth.), Prof. Dr. Jagath Chandana Rajapakse, Prof. Dr. Lipo Wang (eds.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2004
• Tongue: English
• Leaves: 486
• Series: Studies in Fuzziness and Soft Computing 152
• Edition: 1
• Category: Library

✦ Synopsis

This monograph presents a careful collection of recent research and developments in the field of neural information processing. This includes investigations in the functioning and engineering of biological neural networks and applications of artificial neural networks for solving real-world problems. The book is organized in three parts, architectures, learning algorithms and applications, with a variety of different examples and case studies from different fields such as the visual system, object detection, financial time series prediction, the auditory cortex, and robot manipulator control.

✦ Table of Contents

Front Matter....Pages I-IX
Scale Independence in the Visual System....Pages 1-18
Dynamic Neuronal Information Processing of Vowel Sounds in Auditory Cortex....Pages 19-38
Convolutional Spiking Neural Network for Robust Object Detection with Population Code Using Structured Pulse Packets....Pages 39-55
Networks constructed of neuroid elements capable of temporal summation of signals....Pages 56-76
Predictive synchrony organized by spike-based Hebbian learning with time-representing synfire activities....Pages 77-93
Improving Chow-Liu Tree Performance by Mining Association Rules....Pages 94-112
A Reconstructed Missing Data-Finite Impulse Response Selective Ensemble (RMD-FSE) Network....Pages 113-127
Higher Order Multidirectional Associative Memory with Decreasing Energy Function....Pages 128-149
Fast Indexing of Codebook Vectors Using Dynamic Binary Search Trees With Fat Decision Hyperplanes....Pages 150-166
On Some External Characteristics of Brain-like Learning and Some Logical Flaws of Connectionism....Pages 167-179
Superlinear Learning Algorithm Design....Pages 180-210
Extension of Binary Neural Networks for Multi-class Output and Finite Automata....Pages 211-237
A Memory-Based Reinforcement Learning Algorithm to Prevent Unlearning in Neural Networks....Pages 238-255
Structural Optimization of Neural Networks by Genetic Algorithm with Degeneration (GA d )....Pages 256-277
Adaptive Training for Combining Classifier Ensembles....Pages 278-293
Combination Strategies for Finding Optimal Neural Network Architecture and Weights....Pages 294-319
Biologically inspired recognition system for car detection from real-time video streams....Pages 320-333
Financial Time Series Prediction Using Non-fixed and Asymmetrical Margin Setting with Momentum in Support Vector Regression....Pages 334-350
A Method for Applying Neural Networks to Control of Nonlinear Systems....Pages 351-369
Robot Manipulator Control via Recurrent Neural Networks....Pages 370-386
Gesture Recognition Based on SOM Using Multiple Sensors....Pages 387-404
Enhanced phrase-based document clustering using Self-Organizing Map (SOM) architectures....Pages 405-424
Discovering gene regulatory networks from gene expression data with the use of evolving connectionist systems....Pages 425-436
Experimental Analysis of Knowledge Based Multiagent Credit Assignment....Pages 437-459
Implementation of Visual Tracking System using Artificial Retina Chip and Shape Memory Alloy Actuator....Pages 460-477

✦ Subjects

Appl.Mathematics/Computational Methods of Engineering;Artificial Intelligence (incl. Robotics);Optimization;Statistical Physics, Dynamical Systems and Complexity