Analysis of the Hopfield Neural Networks and Their Application to Pattern Recognition.

Abstract

This three-part discussion provides the necessary background in understanding the make-up and operation of the generalized biological neuron and its role in memory and pattern recognition in the brain. There are many specific types of neurons which have adapted to perform specialized operations as part of the central nervous system. Motor neurons deal with the operation of the muscles; optical neurons deal with the operations of the eyes. Although there are differences in physical make-up, their basic operation is similiar and is known as the generalized biological neuron. The physical structure and operation of this neuron will be examined. A brief discussion will follow on how the inter-connection and paralleled structure of neural networks in the optical system and cortex of the brain are able to send, store, and recall information dealing with pattern recognition. This will be followed by a brief discussion of the first mathematical model developed of the generalized biological model. Its make-up is the building block for the vast majority of neural network models which followed. Keywords: Computerized simulation.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1988
Accession Number
ADA193827

Entities

People

  • Bernard F. Gerasimas Jr

Organizations

  • University of Illinois Urbana–Champaign

Tags

DTIC Thesaurus Topics

  • Computational Science
  • Computer Programming
  • Computer Simulations
  • Computers
  • Differential Equations
  • Digital Computers
  • Firing Rate
  • Mathematical Models
  • Models
  • Nervous System
  • Neural Networks
  • Optic Nerve
  • Pattern Recognition
  • Recognition
  • Repetition Rate
  • Simulations
  • Steady State

Readers

  • Neural Network Machine Learning.
  • Neuroscience
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy