Based on in-depth analysis of knowledge storing mode of neural networks

the inadequacy of current storing mode is pinpointed.That is to say

despite its definite intelligent processing capability.the neural neiwork made up of large numbers of neurons with simple processing capability but without complicated processing capability is bound to have such drawbacks as local minimum

slow converging rate and insufficient capability of being popularized.In particular

it can hardly be applied to real-time processing systenis

which greatly limits its range of application.To remedy such a situation

a new intelligent neuron model is proposed and compared with neuron models in common use.It is pointed out in a subsequent paper entitled "Generalized Information Storing Principle and Higher-Order Generalized Neural Networks" that the algorithm based on the intelligent neuron model can raise the converging rate of the conventional BP algorithm more than 1

000 times.