Implementation Techniques

Implementation Techniques

Author: Cornelius T. Leondes

Publisher: Academic Press

ISBN: 9780080551821

Category: Computers

Page: 401

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This volume covers practical and effective implementation techniques, including recurrent methods, Boltzmann machines, constructive learning with methods for the reduction of complexity in neural network systems, modular systems, associative memory, neural network design based on the concept of the Inductive Logic Unit, and a comprehensive treatment of implementations in the area of data classification. Numerous examples enhance the text. Practitioners, researchers,and students in engineering and computer science will find Implementation Techniques a comprehensive and powerful reference. Key Features * Recurrent methods * Boltzmann machines * Constructive learning with methods for the reduction of complexity in neural network systems * Modular systems * Associative memory * Neural network design based on the concept of the Inductive Logic Unit * Data classification * Integrated neuron model systems that function as programmable rational approximators With numerous examples to enhance the text, practitioners, researchers, and students in engineering and computer science will find Implementation Techniques a uniquely comprehensive and powerful reference source
Implementation Techniques
Language: en
Pages: 401
Authors: Cornelius T. Leondes
Categories: Computers
Type: BOOK - Published: 1998-02-09 - Publisher: Academic Press

This volume covers practical and effective implementation techniques, including recurrent methods, Boltzmann machines, constructive learning with methods for the reduction of complexity in neural network systems, modular systems, associative memory, neural network design based on the concept of the Inductive Logic Unit, and a comprehensive treatment of implementations in the
Neural Network Systems Techniques and Applications
Language: en
Pages: 438
Authors: Cornelius T. Leondes
Categories: Computers
Type: BOOK - Published: 1998-02-09 - Publisher: Academic Press

The book emphasizes neural network structures for achieving practical and effective systems, and provides many examples. Practitioners, researchers, and students in industrial, manufacturing, electrical, mechanical,and production engineering will find this volume a unique and comprehensive reference source for diverse application methodologies. Control and Dynamic Systems covers the important topics of
Optimization Techniques
Language: en
Pages: 398
Authors: Cornelius T. Leondes
Categories: Science
Type: BOOK - Published: 1998-02-09 - Publisher: Elsevier

Optimization Techniques is a unique reference source to a diverse array of methods for achieving optimization, and includes both systems structures and computational methods. The text devotes broad coverage toa unified view of optimal learning, orthogonal transformation techniques, sequential constructive techniques, fast back propagation algorithms, techniques for neural networks with
Image Processing and Pattern Recognition
Language: en
Pages: 386
Authors: Cornelius T. Leondes
Categories: Computers
Type: BOOK - Published: 1998-02-09 - Publisher: Elsevier

Image Processing and Pattern Recognition covers major applications in the field, including optical character recognition, speech classification, medical imaging, paper currency recognition, classification reliability techniques, and sensor technology. The text emphasizes algorithms and architectures for achieving practical and effective systems, and presents many examples. Practitioners, researchers, and students in computer
Fuzzy Logic and Expert Systems Applications
Language: en
Pages: 416
Authors: Cornelius T. Leondes
Categories: Computers
Type: BOOK - Published: 1998-02-09 - Publisher: Elsevier

This volume covers the integration of fuzzy logic and expert systems. A vital resource in the field, it includes techniques for applying fuzzy systems to neural networks for modeling and control, systematic design procedures for realizing fuzzy neural systems, techniques for the design of rule-based expert systems using the massively