An improved correlation pruning algorithm for artificial neural network
Xiaoan Li · Electronic Design Engineering · 2013
Pruning networks helps researcher get simple network structure.As one of the most important pruning methods,relevance pruning networks method has not given a standard to delete the hidden notes by notes’ variance and output relations.This paper tries to solve this problem by giving a simple method which deletes hidden notes according to notes’ variance by error transfer.The experiment proves that using the method can get a simple network with high precision and it is easy to calculate.