시스톨릭 어레이 프로세서에 의한 인공신경회로망의 구현 = Implementation of Artificial Neural Network by Systolic Array Processor

다국어 초록 (Multilingual Abstract)

In this paper, back-propagation neural network using systolic array processor is presented. The proposed design is based on the classical systolic algorithm of matrix-by-vecter multiplication.
Systolic array circuit architecture with Residue Number System is suggested to realize the efficient arithmetic circuit for matrix-by-vector multiplication and computing sigmoid function. This method of design shows that the speed of parallel processing is high and the hardware structure is simple.