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ANN accelerator by parallel processor based on DSP

Artificial neural networks (ANN) become popular in various fields, especially in the pattern recognition. In the recognition stage of ANN the time that is required is very short but in the learning stage it becomes long according to the number of learning data and ANNs scale. This is a serious problem in the case of simulating ANN by an emulation software or a small-size emulation system. So a super computer or general purpose computer is generally needed for pursuing these simulations. A high speed parallel processor was realized by using digital signal processors (DSP) which is effective to high speed data processing. This parallel processor realized a ANN that has three layers architecture with the backpropagation learning algorithm (BP method) at high speed.