FIELD: information technology.
SUBSTANCE: method for computer modelling of an engineering system, comprising: modelling one or more output vectors depending on one or more input vectors by training a neural network, based on training data from known input vectors and output vectors. The corresponding output vector contains one or more operating parameters of the engineering system and the corresponding input vector contains one or more operating input values which influence the operating value(s), wherein the neural network is a network directly linked to multiple interconnected layers, which includes an input layer, a plurality of hidden layers and one output layer, wherein the output layer includes a plurality of hidden layers, corresponding to a plurality of output clusters from one or more output neurons, respectively.
EFFECT: more accurate and reliable prediction of operating parameters owing to the user of a neural network during modelling.
15 cl, 2 dwg
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Authors
Dates
2016-02-20—Published
2012-07-24—Filed