DISTRIBUTED ADAPTATION IN NEUROMIME NETWORKS.

Abstract

The report describes investigations of networks with adaptive ability distributed through them. It is thought that large-scale systems can be constructed of adaptive building blocks. These adaptive systems would be flexible in function, reliable and would resist severe damage characteristics of living creatures. Neuron models were tested by interconnecting them into various networks to perform simple control tasks. The test results were evaluated and the evaluation used to improve the theory and the neuron model. Two basic analysis methods were used to study neuromime networks: a sequential machine analysis and an optimal process method applying Pontryagin's maximum principle. The sequential analysis method proved unsatisfactory when applied to an attempted description of an adjustment rule for the neuron model. This difficulty led to an application of optimal processes. The application of Pontryagin's maximum principle to the analysis of the neuron model network described both optimum conditions for a system and criteria useful for developing the adjustment rule. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1967
Accession Number
AD0652853

Entities

People

  • G. H. Bolen
  • V. V. Griffith

Organizations

  • Goodyear Aerospace

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Adaptive Systems
  • Computing-Related Activities
  • Data Science
  • Information Science
  • Interdisciplinary Science
  • Mathematical Analysis
  • Sequential Analysis
  • Test And Evaluation

Readers

  • Operations Research
  • Software Engineering
  • Systems Analysis and Design