The self organizing polynomial network is a new network algorithm which combines biocybernetics with self-organizing feature map theory by using the thought of neural network. With its self organizing feature of seeking the best model parameter combination and the function of seeking minimum error at each level, the algorithm reflected stronger superiority on nonliner fitting. The application of developed software software dclared that the algorithm had better fitting precision compared with GMDH algorithm ...