Neural Network Construction Using Evolutionary Search.

Abstract

This work investigates the application of evolutionary search for training candidate hidden units in cascade-correlation learning architectures. A hybrid evolutionary search algorithm which implements techniques from evolutionary programming and evolution strategies is proposed. This approach is evaluated on selected low-dimensional examples which are non-linearly separable. (AN)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1994
Accession Number
ADA290862

Entities

People

  • D. E. Waagen
  • J. R. Mcdonnell
  • W. C. Page

Organizations

  • Naval Command, Control and Ocean Surveillance Center

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Artificial Intelligence Computing
  • Artificial Intelligence Software
  • Classification
  • Computations
  • Computer Programming
  • Construction
  • Evolutionary Algorithms
  • Learning
  • Machine Learning
  • Neural Networks
  • Ocean Surveillance
  • Optimization
  • Personal Information Managers
  • Standards
  • Training

Fields of Study

  • Computer science

Readers

  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • AI & ML - Neural Networks