Quality recognition and prediction smarter pattern technology with the Mahalanobis-Taguchi system /
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Other Authors: | , |
Format: | Electronic eBook |
Language: | English |
Published: |
[New York, N.Y.] (222 East 46th Street, New York, NY 10017) :
Momentum Press,
2012.
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Edition: | 1st ed. |
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Online Access: | An electronic book accessible through the World Wide Web; click to view |
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Table of 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.