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Multiplierless multilayer feedforward neural network design suitable for continuous input-output mapping

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2 Author(s)
Kwan, H.K. ; Dept. of Electr. Eng., Windsor Univ., Ont., Canada ; Tang, C.Z.

A method for designing a multiplierless multilayer feedforward neural network (MFNN) suitable for continuous input-output mapping is presented. When tested with noisy vectors, the network can retain a similar recall accuracy as the corresponding MFNN with continuous weights. The advantages of the design method include faster computational speed and reduced digital hardware cost.

Published in:

Electronics Letters  (Volume:29 ,  Issue: 14 )