Abstract: To expand the realtime and embedded application of the neural network in industry control, general purpose neural netowrk processor (APP) based on multiple instruction stream and multiple data stream (MIMD) is paoposed. The tasks among PEGs, PEG, and MAC coprocessor can be processed in parallel, and also communications among PEGs and other memorys can be carried out in paralled. The processor has been simulated on FPGA and is used to implement two different neural network:the BP network used in roll eccentricity online control and the Hopfield network used in character recogonition. The simulation result shows that the performance of the proposed APP is better than that of other general methods for neural network implementition.