%0 Journal Article
%A ZHANG Yunong
%A GUO Dongsheng
%A TAN Ning
%T Optimal-structure determination of power-activation feed-forward neural net
%D 2011
%R 10.3778/j.issn.1002-8331.2011.02.009
%J Computer Engineering and Applications
%P 29-31
%V 47
%N 2
%X For a kind of feed-forward neural net with hidden-neurons’ activation-functions being a sequence of power functions，an optimal network-structure determination algorithm is proposed based on the weights-direct-determination method.Computer simulation and verification results indicate that the algorithm can determine the optimal number of hidden-layer neurons automatically，quickly and effectively，which achieves the best approximation ability of the neural net and thus realizes the network-structure optimization.

%U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.2011.02.009