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Concurrent Learning and Information Processing: A Neuro-Computing System that Learns During Monitoring, Forecasting, and Control - Softcover
Synopsis
Many monitoring, forecasting, and control operations occur in settings where relationships among key measurements must be learned quickly. Examples are on-line industrial processes where influent material is not consistent over time, energy load or price forecasting where demand characteristics change rapidly,and health management where relationships among monitored variables must be learned for each patient-treatment combination. The solution presented is a new neuro-computing system that learns in real-time, even when data arrival rates are several million measurements per second. The book describes benefits and features of the system, statistical foundations for the system, and several related models.
The book also describes available system software.
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- PublisherSpringer
- Publication date2011
- ISBN 10 1461380499
- ISBN 13 9781461380498
- BindingPaperback
- LanguageEnglish
- Number of pages288
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Many monitoring, forecasting, and control operations occur in settings where relationships among key measurements must be learned quickly. Examples are on-line industrial processes where influent material is not consistent over time, energy load or price forecasting where demand characteristics change rapidly,and health management where relationships among monitored variables must be learned for each patient-treatment combination. The solution presented is a new neuro-computing system that learns in real-time, even when data arrival rates are several million measurements per second. The book describes benefits and features of the system, statistical foundations for the system, and several related models. The book also describes available system software. 288 pp. Englisch. Seller Inventory # 9781461380498
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Concurrent Learning and Information Processing: A Neuro-Computing System that Learns During Monitoring, Forecasting, and Control
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Many monitoring, forecasting, and control operations occur in settings where relationships among key measurements must be learned quickly. Examples are on-line industrial processes where influent material is not consistent over time, energy load or price. Seller Inventory # 4196160
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Concurrent Learning and Information Processing : A Neuro-Computing System that Learns During Monitoring, Forecasting, and Control
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Many monitoring, forecasting, and control operations occur in settings where relationships among key measurements must be learned quickly. Examples are on-line industrial processes where influent material is not consistent over time, energy load or price forecasting where demand characteristics change rapidly,and health management where relationships among monitored variables must be learned for each patient-treatment combination. The solution presented is a new neuro-computing system that learns in real-time, even when data arrival rates are several million measurements per second. The book describes benefits and features of the system, statistical foundations for the system, and several related models. The book also describes available system software. Seller Inventory # 9781461380498
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Concurrent Learning and Information Processing: A Neuro-Computing System that Learns During Monitoring, Forecasting, and Control
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Many monitoring, forecasting, and control operations occur in settings where relationships among key measurements must be learned quickly. Examples are on-line industrial processes where influent material is not consistent over time, energy load or price forecasting where demand characteristics change rapidly,and health management where relationships among monitored variables must be learned for each patient-treatment combination. The solution presented is a new neuro-computing system that learns in real-time, even when data arrival rates are several million measurements per second. The book describes benefits and features of the system, statistical foundations for the system, and several related models.The book also describes available system software.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 288 pp. Englisch. Seller Inventory # 9781461380498
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