Parallel neurocomputer realisation of the backpropagation algorithm
G.A. Galuyev · 1992
The authors discusses the possibilities of the parallel digital neurocomputer realization of the backpropagation neuronlike networks i.e., their PDNPA (parallel digital neurocomputer with programmable architecture)-based realization based on the neurocomputing performed by the DNP. The results obtained make it possible to construct parallel digital neurocomputers taught by the backpropagation method, which can provide an effective solution for a wide class of pattern recognition problems in real time. >