Optimizing Neuron Function Based on Entropy Clustering in Functional Networks

Functional network is a recently introduced extension of neural networks,.Like neural networks,nowdays,there is no system de signing method for designing approximation functional networks structure.Because of that,A new entropy clustering method designing functional network,combing each neuron function and functional parameters by performing the optimal search to achieve the learning be wteen functional network structure and the functional parameters These results also show that the proposed method in this paper can pro duce very rational structure and functional networks convergent precision are improved greatly.