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Applications of artificial intelligence methods in production engineering
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  • Applications of artificial intelligence methods in production engineering
ID: 47344
Knosala R. and Team
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ISBN 83-204-2767-3
Author: Knosala R. and Team
Publisher: WNT


About the book


The book is a compendium of knowledge in the field of application of artificial intelligence methods, i.e. expert systems, neural networks, semantic networks and genetic algorithms, in production engineering. It provides the theoretical basis of the methods and examples of their use in practice. The application of artificial intelligence methods in technological planning and design as well as production control has been presented. The organization of production nests and flexible manufacturing and assembly systems as well as the issues of controlling them are described. The book is intended for students of engineering departments of production, organization and management, mechanical and related technical universities. It will also be useful for designers of manufacturing systems and control systems.


Table of Contents


Preface

Chapter 1

Expert systems in production engineering

1.1.Wstęp
1.2. Description of the problem of expert systems
1.3. Examples of the application of expert systems in the technological preparation of production
1.4. Examples of the application of expert systems in production management
1.5.Podsumowanie
Literature

Chapter 2

Neural networks in production engineering


2.1.Wstęp
2.2. Neural network algorithms
2.3. Use of neural networks for grouping of constructional forms
2.4. Neural networks in group technology
2.5.Posumowanie
Literature

Chapter 3

Application of semantic networks to estimating production costs


3.1.Wstęp
3.2. Principle of operation of semantic networks
3.3. Application of semantic networks for quick estimation of production costs
3.4.Podsumowanie
Literature

Chapter 4

Genetic algorithms in production engineering


4.1.Wstęp
4.2. Principle of operation of genetic algorithms
4.3. Applications of genetic algorithms
4.4. Applying the genetic algorithm to scheduling production
4.5. Organization of the assembly process
4.6.Podsumowanie
Literature

Index
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