Progress in neural networks
著者
書誌事項
Progress in neural networks
Ablex Pub. Corp., c1991-
- v. 1
- v. 3
- v. 4
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内容説明・目次
- 巻冊次
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v. 1 ISBN 9780893916107
内容説明
This series reviews research in natural and synthetic neural networks, as well as reviews research in modelling, analysis, design and development of neural networks in software and hardware areas. Contributions from researchers and practitioners aim to shape academic and professional programs in this area, and serve as a platform for detailed and expanded discussion of topics of interest to the neural network and cognitive information processing communities. This series should be of interest to those professionally involved in neural networks research, such as lecturers and primary investigators in neural computing, modelling, learning, memory and neurocomputers.
目次
PREFACE vii
1 A REVIEW OF HARDWARE APPROACHES TO ELECTRONIC NEURAL NETWORKS 1
E. A. RIETMAN and R. C. FRYE
2 NEURAL NETWORK-BASED SYSTEM FOR AUTONOMOUS DATA ANALYSIS CONTROL 25
SUSAN EBERLEIN and GIGI YATES
3 HYPERCUBE-BASED COMPACT NEURAL NETWORK AND ITS COMPARISON WITH OTHER 57
ARTIFICIAL NEURAL NETWORKS
ARUN SOMANI and PHYLLIS L. ROSTYKUS
4 TWO-LAYER BINARY ASSOCIATIVE MEMORIES 87
A. SCHNEIDER and V. G. SIGILLITO
5 ADAPTIVE SELF-ORGANIZING CONCURRENT SYSTEMS 105
TONY R. MARTINEZ
6 NEURAL COMPUTABILITY 127
STAN FRANKLIN and MAX GARZON
7 A GENERAL PURPOSE NEURAL NETWORK 147
FRANCESCO E. LAURIA
8 VLSI CHIPS FOR NEURAL NETWORKS 175
MICHEL VERLEYSEN and PAUL G. A. JESPERS
9 NEURAL NETWORKS FOR PATTERN RECOGNITION 197
ARUN D. KULKARNI
AUTHOR INDEX 221
SUBJECT INDEX 224
- 巻冊次
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v. 3 ISBN 9780893919658
内容説明
This series reviews research in natural and synthetic neural networks, as well as reviews research in modelling, analysis, design and development of neural networks in software and hardware areas. Contributions from researchers and practitioners aim to shape academic and professional programs in this area, and serve as a platform for detailed and expanded discussion of topics of interest to the neural network and cognitive information processing communities. This series should be of interest to those professionally involved in neural networks research, such as lecturers and primary investigators in neural computing, modelling, learning, memory and neurocomputers.
目次
- Neural specification of a general purpose vision system
- filtering - invariance, maximum information extraction and learning
- connectionist models of human short-term memory
- a template based implementation of connectionist knowledge based systems for classification and learning
- a 3-D connectionist approach to parallel activation learnings for target recognitions
- relational neural structures
- dynamic and static numerical modelling of actual gradient-type neural networks
- neural network database systems for genetic sequence analysis
- brain building -the genetic programming of artificial nervous systems and artificial embryos
- self-organizing neural network character recognition using adaptive filtering and feature extraction
- deterministic neural networks for combinatorial optimization
- recognition of dynamic patterns by a synergetic computer
- extended conjunctoid theory and implementation - a general model for machine cognition based on categorical data.
- 巻冊次
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v. 4 ISBN 9780893919672
内容説明
This is a study of the use of neural networks for machine vision. It is part of a series which reviews research in natural and synthetic neural networks, as well as in modelling, analysis, design, and development of neural networks in software and hardware areas. Contributions from researchers and practitioners serve as a platform for discussion of topics of interest to the neural network and cognitive information processing communities.
目次
- Receptive field calculus, Jan J. Koenderink
- visual reconstruction and data fusion, D. Suter
- visual perception of translational and rotational motion, Jim-Shih Liaw, Irwin K. King and Michael A. Arbib
- neural network for recovering observer motion, David J. Heeger and Allan D. Jepson
- image segmentation using a multilayer Kohonen's self-organizing feature map, Minsoo Suk and Jean Koh
- illusory contours and image segmentation - neural network architectures, Josef Skrzpek and Brian Ringer
- grouping and segmentation using neural networks - applications to edge detection, texture segmentation and fac recognition, B.S. Manjunath and R. Chellappa
- object recognition using constraint satisfaction networks, Ruud M. Bolle, Andrea Califano and Rick Kjeldsen.
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