The Resource Quality recognition and prediction : smarter pattern technology with the Mahalanobis-Taguchi system, Shoichi Teshima, Yoshiko Hasegawa, Kazuo Tatebayashi, (ebook)

Quality recognition and prediction : smarter pattern technology with the Mahalanobis-Taguchi system, Shoichi Teshima, Yoshiko Hasegawa, Kazuo Tatebayashi, (ebook)

Label
Quality recognition and prediction : smarter pattern technology with the Mahalanobis-Taguchi system
Title
Quality recognition and prediction
Title remainder
smarter pattern technology with the Mahalanobis-Taguchi system
Statement of responsibility
Shoichi Teshima, Yoshiko Hasegawa, Kazuo Tatebayashi
Creator
Contributor
Subject
Genre
Language
eng
Summary
The MT system is a diagnostic and predictive method for analyzing patterns in multivariate data that has provided benefits in many diverse applications over the past decade or so. It has proven itself superior in many cases to more traditional artificial intelligence applications such as neural nets
Additional physical form
Also available in print.
Cataloging source
MiAaPQ
http://library.link/vocab/creatorName
Teshima, Shoichi
Dewey number
658.562
Illustrations
illustrations
Index
index present
LC call number
TS156
LC item number
.T476 2012
Literary form
non fiction
Nature of contents
  • dictionaries
  • abstracts summaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
  • Hasegawa, Yoshiko
  • Tatebayashi, Kazuo
  • NC Live eBook Central
http://library.link/vocab/subjectName
  • Taguchi methods (Quality control)
  • Pattern recognition systems
  • Quality control
Target audience
specialized
Label
Quality recognition and prediction : smarter pattern technology with the Mahalanobis-Taguchi system, Shoichi Teshima, Yoshiko Hasegawa, Kazuo Tatebayashi, (ebook)
Link
https://ebookcentral.proquest.com/lib/cmlibrary-ebooks/detail.action?docID=954641
Instantiates
Publication
Bibliography note
Includes bibliographical references (p. 207-208) and index
Color
multicolored
Contents
  • Foreword -- Preface -- Acknowledgments --
  • 1. Pattern recognition and the MT system -- 1.1 Overview of pattern recognition and the fields of application -- 1.2 Standard execution procedure for pattern recognition -- 1.3 Fields with substantial experience in the use of MT system applications --
  • 2. Merits of the MT system and its computation methods -- 2.1 Characteristics shared by all MT system components -- 2.2 Features of the MT method -- 2.3 Features of the T method -- 2.4 The MT system computation formulas --
  • 3. Data handled by the MT system and feature extraction -- 3.1 Use of measured values in an unmodified form -- 3.2 Performing feature extraction -- 3.3 Feature extraction technique from character pattern -- 3.4 Feature extraction technique from waveform pattern -- 3.5 Differences between other waveform features and variation values/abundance values --
  • 4. MT method application procedure and important points to heed -- 4.1 Example of character recognition -- 4.2 Example of weather prediction --
  • 5. T method application procedures and key points -- 5.1 Yield prediction for manufacturing-production using T method-1 -- 5.2 Character pattern recognition using the RT method --
  • 6. Examples of actual applications -- 6.1 Blade wear monitoring via cutting vibration waveform (MT method) -- 6.2 Appearance inspection of a clutch disk -- 6.3 Monitoring of machine conditions (MT method) -- 6.4 Application to medical diagnosis (MT method) -- 6.5 Strength estimation based on raw material mixing (T method-1) -- 6.6. Real estate price prediction by T method-1 --
  • Appendices -- A. Differences between the MT system and artificial intelligence -- B. Difference between the MT system and traditional statistical theory -- C. Supplementary considerations concerning mathematical formulas -- D. Strategy to use when data incorporates unmeasured values -- E. Fusion with artificial intelligence and other resources -- F. Mahalanobis distance computation using Microsoft Excel -- G. Paley's construct for generation of Hadamard matrice --
  • Bibliography and reference sources -- Bibliography (in English) -- Bibliography (in Japanese) -- References -- Glossary: definition of terms -- Index -- About the authors
Dimensions
unknown
Edition
1st ed.
Extent
1 electronic text (xvii, 220 p.)
File format
multiple file formats
Form of item
online
Governing access note
Restricted to libraries which purchase an unrestricted PDF download via an IP
Isbn
9781606503447
Isbn Type
(electronic bk.)
Other control number
10.5643/9781606503447
Other physical details
ill., digital file.
Reformatting quality
access
Reproduction note
Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
Specific material designation
remote
System control number
  • EBC954641
  • (OCoLC)809681761
  • (CaBNvSL)swl00401235
  • (MiAaPQ)EBC954641
  • (Au-PeEL)EBL954641
  • (CaPaEBR)ebr10588195
  • (CaONFJC)MIL420851
  • (OCoLC)830170654
System details
  • Mode of access: World Wide Web
  • System requirements: Adobe Acrobat reader
Label
Quality recognition and prediction : smarter pattern technology with the Mahalanobis-Taguchi system, Shoichi Teshima, Yoshiko Hasegawa, Kazuo Tatebayashi, (ebook)
Link
https://ebookcentral.proquest.com/lib/cmlibrary-ebooks/detail.action?docID=954641
Publication
Bibliography note
Includes bibliographical references (p. 207-208) and index
Color
multicolored
Contents
  • Foreword -- Preface -- Acknowledgments --
  • 1. Pattern recognition and the MT system -- 1.1 Overview of pattern recognition and the fields of application -- 1.2 Standard execution procedure for pattern recognition -- 1.3 Fields with substantial experience in the use of MT system applications --
  • 2. Merits of the MT system and its computation methods -- 2.1 Characteristics shared by all MT system components -- 2.2 Features of the MT method -- 2.3 Features of the T method -- 2.4 The MT system computation formulas --
  • 3. Data handled by the MT system and feature extraction -- 3.1 Use of measured values in an unmodified form -- 3.2 Performing feature extraction -- 3.3 Feature extraction technique from character pattern -- 3.4 Feature extraction technique from waveform pattern -- 3.5 Differences between other waveform features and variation values/abundance values --
  • 4. MT method application procedure and important points to heed -- 4.1 Example of character recognition -- 4.2 Example of weather prediction --
  • 5. T method application procedures and key points -- 5.1 Yield prediction for manufacturing-production using T method-1 -- 5.2 Character pattern recognition using the RT method --
  • 6. Examples of actual applications -- 6.1 Blade wear monitoring via cutting vibration waveform (MT method) -- 6.2 Appearance inspection of a clutch disk -- 6.3 Monitoring of machine conditions (MT method) -- 6.4 Application to medical diagnosis (MT method) -- 6.5 Strength estimation based on raw material mixing (T method-1) -- 6.6. Real estate price prediction by T method-1 --
  • Appendices -- A. Differences between the MT system and artificial intelligence -- B. Difference between the MT system and traditional statistical theory -- C. Supplementary considerations concerning mathematical formulas -- D. Strategy to use when data incorporates unmeasured values -- E. Fusion with artificial intelligence and other resources -- F. Mahalanobis distance computation using Microsoft Excel -- G. Paley's construct for generation of Hadamard matrice --
  • Bibliography and reference sources -- Bibliography (in English) -- Bibliography (in Japanese) -- References -- Glossary: definition of terms -- Index -- About the authors
Dimensions
unknown
Edition
1st ed.
Extent
1 electronic text (xvii, 220 p.)
File format
multiple file formats
Form of item
online
Governing access note
Restricted to libraries which purchase an unrestricted PDF download via an IP
Isbn
9781606503447
Isbn Type
(electronic bk.)
Other control number
10.5643/9781606503447
Other physical details
ill., digital file.
Reformatting quality
access
Reproduction note
Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
Specific material designation
remote
System control number
  • EBC954641
  • (OCoLC)809681761
  • (CaBNvSL)swl00401235
  • (MiAaPQ)EBC954641
  • (Au-PeEL)EBL954641
  • (CaPaEBR)ebr10588195
  • (CaONFJC)MIL420851
  • (OCoLC)830170654
System details
  • Mode of access: World Wide Web
  • System requirements: Adobe Acrobat reader

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