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Neural Networks In Design And Manufacturing

By: Yoshiyasu Takefuji (Editor), Jun Wang (Editor)

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Hardcover | 1 October 1993

At a Glance

Hardcover
316 Pages

Dimensions(cm)
22.23 x 15.88 x 1.27

Hardcover

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Over the past few years, there has been a surge of researchers on artificial neural networks. Although the thrust was originally from computer scientifics and electrical engineers, neural network research has attracted researchers in the fields of operations research, operations management and industrial engineering. Despite the huge volume of recent publications devoted to neural network reseach, there is no single monograph addressing the potential roles of artificial neural networks for design and manufacturing. The focus of this book is on the applications of neural network concepts and techniques to design and manufacturing. This book reviews the state of the art of the research activities, highlights the recent advances in research and development, and discusses the potential directions and future trends along this stream of research. The potential readers of this book will include, but are not limited to, beginners, professionals and practitioners in industries who are applying neural networks to design and manufacturing. The topics include group technology, assembly line balancing, material handling, quality control and assurance, cutting parameter optimization, planning and scheduling, facility design and layout, process monitoring and control, and others.

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Science Artificial Intelligence Neural Networks & Fuzzy Systems Mathematical Theory of Computation Maths for Computer Scientists Graphical & Digital Media Applications Booktopia Publisher Services World Scientific Publishing

A Neural Network Approach to Group Technology	p. 1
Neuro-Clustering for Group Technology	p. 57
A Parallel and Distributed Processing Algorithm for Facility Layout	p. 77
Neural Networks in Conceptual Design	p. 99
Knowledge Acquisition in Neural Networks and Expert Systems: The Case of Packer Selection in Oil Well Design	p. 121
Setup Generation and Feature Sequencing Using an Unsupervised Learning Algorithm	p. 135
Scheduling Computation Tasks onto a Multiprocessor System by Mean Field Annealing of a Hopfield Neural Network	p. 163
Multi-Functional Neural Networks for System Identification	p. 185
Neural Network Applications in On-line Monitoring of a Turning Process	p. 247
Neural Adaptive Systems for Machining Errors Modeling	p. 269
Index	p. 290
Table of Contents provided by Blackwell. All Rights Reserved.

Neural Networks In Design And Manufacturing

At a Glance

Hardcover

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