Concurrent Learning and Information Processing: A Neuro-computing System That Learns During Monitoring, Forecasting and Control - Hardcover
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 neuro-computing system that learns in real-time, even when data arrival rates are several million measurements per second. This text describes benefits and features of the system, statistical foundations for the system, and several related models. It also describes available system software.
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Concurrent Learning and Information Processing A Neuro-Computing System that Learns During Monitoring, Forecasting, and Control
Seller: Crossroad Books, Eau Claire, WI, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: with no dust jacket. Dust Jacket Condition: No Dust Jacket. Ex-Corporate Library copy; with typical markings. Library label on front board and on spine tail. Pages clean, but for library markings. ; TEH22B; 270 pages; Ex-Library. Seller Inventory # 57263