Concurrent Learning and Information Processing

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

  • Robert J. Jannarone

Table of contents

  1. Front Matter
    Pages i-xii
  2. Rapid Learning Benefits

    1. Front Matter
      Pages 1-1
    2. Robert J. Jannarone
      Pages 3-28
    3. Robert J. Jannarone
      Pages 29-59
  3. Rapid Learning Features

    1. Front Matter
      Pages 61-61
    2. Robert J. Jannarone
      Pages 63-97
    3. Robert J. Jannarone
      Pages 99-130
  4. Rapid Learning Foundations

    1. Front Matter
      Pages 131-131
    2. Robert J. Jannarone
      Pages 133-172
    3. Robert J. Jannarone
      Pages 173-209
  5. Operational Details

    1. Front Matter
      Pages 211-211
    2. Robert J. Jannarone
      Pages 213-228
    3. Robert J. Jannarone
      Pages 229-248
  6. Back Matter
    Pages 249-270

About this book

Introduction

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.

Keywords

control energy information processing learning software

Authors and affiliations

  • Robert J. Jannarone
    • 1
  1. 1.Rapid Clip Neural Systems, Inc.AtlantaUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4613-0431-9
  • Copyright Information Springer-Verlag US 1997
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-8049-8
  • Online ISBN 978-1-4613-0431-9
  • About this book