Probabilistic Analysis of Neural Networks

Abstract

The research was a probabilistics study of neural network models. It was not oriented toward the workings of a particular device, but was intended to provide an understanding of the basic mechanisms of learning and recognition in neural networks. The main areas of progress were analysis of neural networks models, study of network connectivity, and investigation of computer network theory.

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Document Details

Document Type
Technical Report
Publication Date
Nov 26, 1990
Accession Number
ADA230165

Entities

People

  • Charles M. Newman
  • William G. Faris

Organizations

  • University of Arizona

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Classification
  • Communication Channels
  • Computer Networks
  • Computers
  • Computing System Architectures
  • Differential Equations
  • Equations
  • Markov Chains
  • Multiple Access
  • Network Architecture
  • Network Science
  • Neural Networks
  • Probabilistic Models
  • Probability
  • Probability Distributions
  • Random Variables
  • Simulations

Fields of Study

  • Computer science

Readers

  • Neural Network Machine Learning.
  • Software Engineering

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks