The selective operation of pattern sample and abstracting method of typical sample data are discussed in this paper.In order to improve obvious shortcoming existing in neural networks in which error precision and convergent rate will be sensitive to initial weight values

even more depending on them

the Gabor function model of visual perception field is applied to optimize initial weight value of neural networks.In this way a good start in learning process can be provided.It is more important to obtain plastic superiority adaptive to complicated alterable environment for the neural network model

and to implement optimal computing principle in which operation load of structuring element weights in morphological filter can be distributed according to their contributive rate.