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Cascade-Correlation Neural Networks: A Survey

Other Attachments: ccnnsurvey2009.pdf [PDF] PDF

This paper is an overview of cascade-correlation neural networks which form a specific class inside neural network function approximators. They are based on a special architecture which autonomously adapts to the application and makes the training much more efficient than the widely used backpropagation algorithm. This survey describes the cascade-correlation architecture variants, shows important applications and points to many future research directions.

Citation

G. Balazs. "Cascade-Correlation Neural Networks: A Survey". Technical Report, Comput603 Survey Paper (2009), University of Alberta, December 2009.

Keywords: cascade-correlation, neural networks
Category: Technical Report

BibTeX

@manual{Balazs:Cmput60309,
  author = {Gabor Balazs},
  title = {Cascade-Correlation Neural Networks: A Survey},
  Institution = {University of Alberta},
  year = 2009,
}

Last Updated: January 05, 2010
Submitted by Gabor Balazs

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