A new fuzzy neural network for nonlinear approaching

With the aim of a general approaching problem of nonlinear mapping, a general sub-field approaching algorithm is suggested to realize global field approaching, on the basis of which a new fuzzy neural network is configured to carry out the suggested algorithm. The authors compare this new fuzzy neural network with the BP neural network via simulation and the RBF neural network. The results indicate that the approaching ability of this new FNN is obviously superior to the latter two, and the weights have distinct geometric meaning and the design difficulty is relatively small. Accordingly, this new FNN can be used to approach any complicated nonlinear functions.