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Efficient two-dimensional systolic array architecture for multilayer neural network

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3 Author(s)
H. Amin ; Dept. of Electr. & Electron. Eng., Nottingham Univ. ; K. M. Curtis ; B. R. Hayes-Gill

An efficient two-dimensional systolic array architecture for a multilayer perceptron neural network is presented. This structure can perform the weighted sum calculation in only N cycles, for an N×N network. A new technique is introduced to eliminate the problem of long connecting lines in the proposed systolic structure

Published in:

Electronics Letters  (Volume:33 ,  Issue: 24 )