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Books > Professional & Technical > Mechanical engineering & materials > Production engineering

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Quality Recognition & Prediction (Hardcover) Loot Price: R2,464
Discovery Miles 24 640
You Save: R674 (21%)
Quality Recognition & Prediction (Hardcover): Shoichi Teshima, Yoshiko Hasegawa, Kazuo Tatebayashi

Quality Recognition & Prediction (Hardcover)

Shoichi Teshima, Yoshiko Hasegawa, Kazuo Tatebayashi

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List price R3,138 Loot Price R2,464 Discovery Miles 24 640 | Repayment Terms: R231 pm x 12* You Save R674 (21%)

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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 systemExplains the merits of the MT System and its computational methodsShows how to handle data with the MT System and extract useful informationProvides a useful comparison of the advantages and disadvantages between traditional Artificial Intelligence systems and the MT systemProvides case study examples of MT Systems applications

General

Imprint: Momentum Press
Country of origin: United States
Release date: June 2012
First published: 2012
Authors: Shoichi Teshima • Yoshiko Hasegawa • Kazuo Tatebayashi
Dimensions: 243 x 190 x 22mm (L x W x T)
Format: Hardcover - Cloth over boards
Pages: 230
ISBN-13: 978-1-60650-342-3
Categories: Books > Professional & Technical > Mechanical engineering & materials > Production engineering > General
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LSN: 1-60650-342-1
Barcode: 9781606503423

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