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1 2005

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Product quality control on the basis of stochastic neuronet model of through technology

Kuznetsov L., Domashnev P.

Systems Science

2005

Vol. 31, no 3

111-119

It is convenient to use the mathematical apparatus of neuronic networks for simulation of composite production engineering. Neuronet model of technology is a superposition of neuron models of separate stages of process and represents correlation between technological parameters and production properties. Such a model is determined. On the basis of this model it is possible to obtain only the dot forecast of prospective properties of production, which can considerably differ from actual ones because of the error of input data. The paper deals with the ways of taking into account a stochasticity of technology and noise pollution of input data. This allows us to obtain confidence intervals for prospective values of production properties. Using stochastic neuronet model allows us to calculate control actions, which one will put to wishful values of the properties of production with an established risk level.