Computer-based robust engineering : essentials for DFSS / / Genichi Taguchi, Rajesh Jugulum, Shin Taguchi |
Autore | Taguchi Genʼichi <1924-2012, > |
Pubbl/distr/stampa | Milwaukee, Wisconsin : , : ASQ Quality Press, , 2004 |
Descrizione fisica | 1 online resource (240 p.) |
Disciplina | 658.4/013 |
Soggetto topico |
Taguchi methods (Quality control)
Industrial design Six sigma (Quality control standard) Information technology |
Soggetto genere / forma | Electronic books. |
ISBN | 600-00-4743-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910463098903321 |
Taguchi Genʼichi <1924-2012, > | ||
Milwaukee, Wisconsin : , : ASQ Quality Press, , 2004 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Quality recognition and prediction : smarter pattern technology with the Mahalanobis-Taguchi system / / Shoichi Teshima, Yoshiko Hasegawa, Kazuo Tatebayashi |
Autore | Teshima Shoichi |
Edizione | [1st ed.] |
Pubbl/distr/stampa | New York : , : Momentum Press, LLC, , [2012] |
Descrizione fisica | 1 online resource (242 p.) |
Disciplina | 621.3819598 |
Soggetto topico |
Pattern recognition systems
Taguchi methods (Quality control) |
Soggetto genere / forma | Electronic books. |
ISBN |
1-283-89601-X
1-60650-344-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
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. |
Record Nr. | UNINA-9910461964203321 |
Teshima Shoichi | ||
New York : , : Momentum Press, LLC, , [2012] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Quality recognition and prediction : smarter pattern technology with the Mahalanobis-Taguchi system / / Shoichi Teshima, Yoshiko Hasegawa, Kazuo Tatebayashi |
Autore | Teshima Shoichi |
Edizione | [1st ed.] |
Pubbl/distr/stampa | New York : , : Momentum Press, LLC, , [2012] |
Descrizione fisica | 1 online resource (242 p.) |
Disciplina | 621.3819598 |
Soggetto topico |
Pattern recognition systems
Taguchi methods (Quality control) |
ISBN |
1-283-89601-X
1-60650-344-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
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. |
Record Nr. | UNINA-9910785549003321 |
Teshima Shoichi | ||
New York : , : Momentum Press, LLC, , [2012] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Quality recognition and prediction : smarter pattern technology with the Mahalanobis-Taguchi system / / Shoichi Teshima, Yoshiko Hasegawa, Kazuo Tatebayashi |
Autore | Teshima Shoichi |
Edizione | [1st ed.] |
Pubbl/distr/stampa | New York : , : Momentum Press, LLC, , [2012] |
Descrizione fisica | 1 online resource (242 p.) |
Disciplina | 621.3819598 |
Soggetto topico |
Pattern recognition systems
Taguchi methods (Quality control) |
ISBN |
1-283-89601-X
1-60650-344-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
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. |
Record Nr. | UNINA-9910821399003321 |
Teshima Shoichi | ||
New York : , : Momentum Press, LLC, , [2012] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|