Artificial intelligence tools : decision support systems in condition monitoring and diagnosis / / Diego Galar Pascual |
Autore | Pascual Diego Galar |
Pubbl/distr/stampa | Boca Raton, Florida : , : CRC Press, , [2015] |
Descrizione fisica | 1 online resource (528 p.) |
Disciplina | 658.2020285 |
Soggetto topico |
Industrial equipment - Maintenance and repair - Data processing
Machinery - Monitoring Artificial intelligence - Industrial applications |
ISBN |
1-4987-6019-8
0-429-10232-1 1-4665-8406-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Front Cover; Contents; Preface; Acknowledgments; Author; Chapter 1: Massive Field Data Collection: Issues and Challenges; Chapter 2: Condition Monitoring: Available Techniques; Chapter 3: Challenges of Condition Monitoring Using AI Techniques; Chapter 4: Input and Output Data; Chapter 5: Two-Stage Response Surface Approaches to Modeling Drug Interaction; Chapter 6: Nearest Neighbor-Based Techniques; Chapter 7: Cluster-Based Techniques; Chapter 8: Statistical Techniques; Chapter 9: Information Theory-Based Techniques; Chapter 10: Uncertainty Management; Back Cover |
Record Nr. | UNINA-9910787963003321 |
Pascual Diego Galar | ||
Boca Raton, Florida : , : CRC Press, , [2015] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Artificial intelligence tools : decision support systems in condition monitoring and diagnosis / / Diego Galar Pascual |
Autore | Pascual Diego Galar |
Pubbl/distr/stampa | Boca Raton, Florida : , : CRC Press, , [2015] |
Descrizione fisica | 1 online resource (528 p.) |
Disciplina | 658.2020285 |
Soggetto topico |
Industrial equipment - Maintenance and repair - Data processing
Machinery - Monitoring Artificial intelligence - Industrial applications |
ISBN |
1-4987-6019-8
0-429-10232-1 1-4665-8406-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Front Cover; Contents; Preface; Acknowledgments; Author; Chapter 1: Massive Field Data Collection: Issues and Challenges; Chapter 2: Condition Monitoring: Available Techniques; Chapter 3: Challenges of Condition Monitoring Using AI Techniques; Chapter 4: Input and Output Data; Chapter 5: Two-Stage Response Surface Approaches to Modeling Drug Interaction; Chapter 6: Nearest Neighbor-Based Techniques; Chapter 7: Cluster-Based Techniques; Chapter 8: Statistical Techniques; Chapter 9: Information Theory-Based Techniques; Chapter 10: Uncertainty Management; Back Cover |
Record Nr. | UNINA-9910800185003321 |
Pascual Diego Galar | ||
Boca Raton, Florida : , : CRC Press, , [2015] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Artificial intelligence tools : decision support systems in condition monitoring and diagnosis / / Diego Galar Pascual |
Autore | Pascual Diego Galar |
Pubbl/distr/stampa | Boca Raton, Florida : , : CRC Press, , [2015] |
Descrizione fisica | 1 online resource (528 p.) |
Disciplina | 658.2020285 |
Soggetto topico |
Industrial equipment - Maintenance and repair - Data processing
Machinery - Monitoring Artificial intelligence - Industrial applications |
ISBN |
1-4987-6019-8
0-429-10232-1 1-4665-8406-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Front Cover; Contents; Preface; Acknowledgments; Author; Chapter 1: Massive Field Data Collection: Issues and Challenges; Chapter 2: Condition Monitoring: Available Techniques; Chapter 3: Challenges of Condition Monitoring Using AI Techniques; Chapter 4: Input and Output Data; Chapter 5: Two-Stage Response Surface Approaches to Modeling Drug Interaction; Chapter 6: Nearest Neighbor-Based Techniques; Chapter 7: Cluster-Based Techniques; Chapter 8: Statistical Techniques; Chapter 9: Information Theory-Based Techniques; Chapter 10: Uncertainty Management; Back Cover |
Record Nr. | UNINA-9910829136803321 |
Pascual Diego Galar | ||
Boca Raton, Florida : , : CRC Press, , [2015] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|