The Self-Organizing Polynomial Network Algorithm Based on the Self-Organizing Theory
基于自组织理论的自组织多项式网络算法

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 and other common network algoithms.