Realization
of artificial neural networks on the multinuclear processor SEAforth
A. S. Anisimov1,
A.V. Kalachev2
1FGUP BSKB "Vostok",
Barnaul,
2Physical-Engineering faculty of Altai state univesity
Received September
4, 2010
Abstract.
The subject of investigation is the realization of artificial neural
networks on the matrix multinuclear processors. The processor SEAforth40 is
examined as hardware platform. Characteristics of the processor are given.
Variants of building of neurons and neural networks are analysed with reference
to the features of processor's architecture. The neuron with threshold function
(perceptron) is studied in details: the way of it's representation and
realization, variants of arrangement and interaction of several perceptrons.
Method of designing and operation of such network is shown. The Hopfield neural
network realization is proposed as an example.
Keywords:
artificial neural networks,
multinuclear
processors, perceptron, data stream diagram, modularity.