This paper presents a novel feedforward artificial neural network （ANN）model based on Kohonen self-organizing feature mapping （SOM）

whose structure

learning rules and adaptive algorithms are provided in detail here .The concept of membership function is combined with SOM

so that this ANN model can obtain the pobability distribution of the input information by statistical method

then make pattern classification decision. Besides

this paper presents a novel concept of "Pattern Map"

which is able to facilitate visual inspection of the data .The results of the computer simulations show that the new concepts and methods mentioned above are effective.