Systolic implementation of neural networks

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 feedforwar...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Zubair, M., Madan, B.B.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Computational modeling Computer networks Feedforward neural networks Hopfield neural networks Multi-layer neural network Neural networks Neurofeedback Neurons Optical computing Optical feedback
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