Cascade-Correlation Neural Networks: A Survey
نویسنده
چکیده
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.
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