Knowledge-Based Systems, Four-Volume Set

Computers
Knowledge-Based Systems, Four-Volume Set

Author: Cornelius T. Leondes

Publisher: Elsevier

ISBN: 9780080535289

Category: Computers

Page: 1449

View: 606

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The design of knowledge systems is finding myriad applications from corporate databases to general decision support in areas as diverse as engineering, manufacturing and other industrial processes, medicine, business, and economics. In engineering, for example, knowledge bases can be utilized for reliable electric power system operation. In medicine they support complex diagnoses, while in business they inform the process of strategic planning. Programmed securities trading and the defeat of chess champion Kasparov by IBM's Big Blue are two familiar examples of dedicated knowledge bases in combination with an expert system for decision-making. With volumes covering "Implementation," "Optimization," "Computer Techniques," and "Systems and Applications," this comprehensive set constitutes a unique reference source for students, practitioners, and researchers in computer science, engineering, and the broad range of applications areas for knowledge-based systems.
Implementation Techniques
Language: en
Pages: 401

Implementation Techniques

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

Neural Network Systems Techniques and Applications

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

Optimization Techniques

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

Image Processing and Pattern Recognition

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

Fuzzy Logic and Expert Systems Applications

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

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