Concurrent Learning and Information Processing: A Neuro-Computing System that Learns During Monitoring, Forecasting, and Control
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 chan...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston, MA
Springer US
1997
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| Schlagworte: | |
| Online-Zugang: | BTU01 Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | 1 Online-Ressource (288 p) |
| ISBN: | 9781461304319 |
| DOI: | 10.1007/978-1-4613-0431-9 |
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| id | DE-604.BV045185303 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:10:55Z |
| institution | BVB |
| isbn | 9781461304319 |
| language | English |
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| spelling | Jannarone, Robert J. Verfasser aut Concurrent Learning and Information Processing A Neuro-Computing System that Learns During Monitoring, Forecasting, and Control by Robert J. Jannarone Boston, MA Springer US 1997 1 Online-Ressource (288 p) txt rdacontent c rdamedia cr rdacarrier 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 Engineering Electrical Engineering Statistics, general Artificial Intelligence (incl. Robotics) Artificial intelligence Statistics Electrical engineering Erscheint auch als Druck-Ausgabe 9781461380498 https://doi.org/10.1007/978-1-4613-0431-9 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Jannarone, Robert J. Concurrent Learning and Information Processing A Neuro-Computing System that Learns During Monitoring, Forecasting, and Control Engineering Electrical Engineering Statistics, general Artificial Intelligence (incl. Robotics) Artificial intelligence Statistics Electrical engineering |
| title | Concurrent Learning and Information Processing A Neuro-Computing System that Learns During Monitoring, Forecasting, and Control |
| title_auth | Concurrent Learning and Information Processing A Neuro-Computing System that Learns During Monitoring, Forecasting, and Control |
| title_exact_search | Concurrent Learning and Information Processing A Neuro-Computing System that Learns During Monitoring, Forecasting, and Control |
| title_full | Concurrent Learning and Information Processing A Neuro-Computing System that Learns During Monitoring, Forecasting, and Control by Robert J. Jannarone |
| title_fullStr | Concurrent Learning and Information Processing A Neuro-Computing System that Learns During Monitoring, Forecasting, and Control by Robert J. Jannarone |
| title_full_unstemmed | Concurrent Learning and Information Processing A Neuro-Computing System that Learns During Monitoring, Forecasting, and Control by Robert J. Jannarone |
| title_short | Concurrent Learning and Information Processing |
| title_sort | concurrent learning and information processing a neuro computing system that learns during monitoring forecasting and control |
| title_sub | A Neuro-Computing System that Learns During Monitoring, Forecasting, and Control |
| topic | Engineering Electrical Engineering Statistics, general Artificial Intelligence (incl. Robotics) Artificial intelligence Statistics Electrical engineering |
| topic_facet | Engineering Electrical Engineering Statistics, general Artificial Intelligence (incl. Robotics) Artificial intelligence Statistics Electrical engineering |
| url | https://doi.org/10.1007/978-1-4613-0431-9 |
| work_keys_str_mv | AT jannaronerobertj concurrentlearningandinformationprocessinganeurocomputingsystemthatlearnsduringmonitoringforecastingandcontrol |