Quality recognition and prediction smarter pattern technology with the Mahalanobis-Taguchi system

The Mahalanobis-Taguchi data handling and pattern recognition system is widely established-- built and extended from the original quality control precepts of Genichi Taguchi. But the MT system is not always well understood. This new book makes the system much more vivid and concrete with real-life a...

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Bibliographic Details
Main Authors: Teshima, Shoichi (Author), Hasegawa, Yoshiko (Author), Tatebayashi, Kazuo (Author)
Format: Book
Language:English
Published: New York Momentum Press 2012
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Call Number :TS 156 .T47 2012

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100 1 |a Teshima, Shoichi  |e author 
245 1 0 |a Quality recognition and prediction  |b smarter pattern technology with the Mahalanobis-Taguchi system  |c Shoichi Teshima, Yoshiko Hasegawa, Kazuo Tatebayashi 
264 1 |a New York  |b Momentum Press  |c 2012 
264 4 |c © 2012 
300 |a xvii, 220 pages  |b illustrations  |c 25 cm 
336 |a text  |2 rdacontent 
337 |a unmediated  |2 rdamedia 
338 |a volume  |2 rdacarrier 
504 |a Includes bibliographical references and index 
520 |a The Mahalanobis-Taguchi data handling and pattern recognition system is widely established-- built and extended from the original quality control precepts of Genichi Taguchi. But the MT system is not always well understood. This new book makes the system much more vivid and concrete with real-life applications in a wide variety of disciplines from industry to general commerce. The book offers a clear computational method to show the user how to actually apply the system to real manufacturing control problems. With the renowned international industry background of the three authors and their historic ties to Genichi Taguchi, this book will bring a unique insight into how to get the most benefits from the MT System. The book offers an overview of pattern recognition issues and the precepts of the MT system. explains the merits of the MT System and its computational methods. shows how to handle data with the MT System and extract useful information. provides a useful comparison of the advantages and disadvantages between traditional Artificial Intelligence systems and the MT system. provides case study examples of MT Systems applications. 
592 |c Gift & donation 
650 0 |a Taguchi methods (Quality control) 
650 0 |a Pattern recognition systems 
650 0 |a Quality control  |x statistical methods 
700 1 |a Hasegawa, Yoshiko  |e author 
700 1 |a Tatebayashi, Kazuo  |e author 
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