Systolic implementation of neural networks
Mohammad Zubair, Bhagyashree Madan · 2003
Systolic implementation of neural networks is suggested. These arrays do not suffer from long feedback connections. Various learning rules are incorporated in the suggested systolic implementation of neural networks. It is shown that these arrays can be easily generalized for multilayered feedforward networks.>