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Concurrent Learning and Information Processing

A Neuro-Computing System that Learns During Monitoring, Forecasting, and Control

  • Book
  • © 1997

Overview

Authors:
  1. Robert J. Jannarone

    1. Rapid Clip Neural Systems, Inc., Atlanta, USA

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xii
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  2. Rapid Learning Benefits

    1. Front Matter

      Pages 1-1
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    2. Rapid Learning Applications

      • Robert J. Jannarone
      Pages 3-28

    3. Contrasts with Alternative Methods

      • Robert J. Jannarone
      Pages 29-59

  3. Rapid Learning Features

    1. Front Matter

      Pages 61-61
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    2. The Rapid Learning Neuro-Computing System

      • Robert J. Jannarone
      Pages 63-97

    3. Rapid Learning Models

      • Robert J. Jannarone
      Pages 99-130

  4. Rapid Learning Foundations

    1. Front Matter

      Pages 131-131
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    2. Basic Concurrent Learning and Prediction

      • Robert J. Jannarone
      Pages 133-172

    3. Extended Concurrent Learning and Prediction

      • Robert J. Jannarone
      Pages 173-209

  5. Operational Details

    1. Front Matter

      Pages 211-211
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    2. Monitoring and Forecasting Details

      • Robert J. Jannarone
      Pages 213-228

    3. Control and Refinement Details

      • Robert J. Jannarone
      Pages 229-248

  6. Back Matter

    Pages 249-270
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Keywords

About this book

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.

Authors and Affiliations

  • Rapid Clip Neural Systems, Inc., Atlanta, USA

    Robert J. Jannarone

Bibliographic Information

  • Book Title: Concurrent Learning and Information Processing

  • Book Subtitle: A Neuro-Computing System that Learns During Monitoring, Forecasting, and Control

  • Authors: Robert J. Jannarone

  • DOI: https://doi.org/10.1007/978-1-4613-0431-9

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Chapman & Hall 1997

  • Softcover ISBN: 978-1-4613-8049-8Published: 17 September 2011

  • eBook ISBN: 978-1-4613-0431-9Published: 06 December 2012

  • Edition Number: 1

  • Number of Pages: 288

  • Topics: Electrical Engineering, Statistics, general, Artificial Intelligence

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