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

Front Cover
Chapman & Hall, 1997 - Computers - 270 pages
0 Reviews
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.

From inside the book

What people are saying - Write a review

We haven't found any reviews in the usual places.

Contents

RAPID LEARNING FEATURES
61
RAPID LEARNING FOUNDATIONS
131
OPERATIONAL DETAILS
211
Copyright

1 other sections not shown

Other editions - View all

Common terms and phrases

Bibliographic information