%0 Journal Article
%A LIU Lijie
%A LI Panchi
%A LI Xin
%A ZHANG Qiang
%T Application of discrete process neural network in time series prediction
%D 2011
%R
%J Computer Engineering and Applications
%P 224-227
%V 47
%N 32
%X By now，the input of Process Neural Network（PNN） is multiple continuous time-varying function and the input for practical problems is discrete value of multiple series，a PNN model and learning algorithm is presented based on discrete input to solve the problem of complex time series prediction.The algorithm takes sunspot number as example to predict sunspot number time series，and the simulation results show that the model produces good ability for approximation and prediction.

%U http://cea.ceaj.org/EN/abstract/article_26941.shtml