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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Concurrent Learning and Information Processing: A Neuro-Computing System That Learns During Monitoring, Forecasting, and Control

Concurrent Learning and Information Processing: A Neuro-Computing System That Learns During Monitoring, Forecasting, and Control

Jannarone, Robert J.

Paperback

Technology & EngineeringGeneral ComputersProbability & Statistics

ISBN10: 1461380499
ISBN13: 9781461380498
Publisher: Springer Nature
Published: Sep 17 2011
Pages: 288
Weight: 0.85
Height: 0.60 Width: 6.00 Depth: 9.00
Language: English
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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