Evolving Cascade-Correlation Networks for Time-Series Forecasting.

Abstract

This investigation applies evolutionary search to the cascade-correlation learning network. Evolutionary search is used to find both the input weights and input connectivity of candidate hidden units. A time-series prediction example is used to demonstrate the capabilities of the proposed approach.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1994
Accession Number
ADA289197

Entities

People

  • D. E. Waagen
  • J. R. Mcdonnell

Organizations

  • Naval Command, Control and Ocean Surveillance Center

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Artificial Intelligence
  • Computer Programming
  • Data Sets
  • Delphi Method
  • Evolutionary Algorithms
  • Genetic Algorithms
  • Information Operations
  • Learning
  • Neural Networks
  • Ocean Surveillance
  • Optimization
  • Personal Information Managers
  • Standards
  • Test Sets
  • Training

Fields of Study

  • Computer science

Readers

  • Neural Network Machine Learning.