Modelling the Differential Pressure at Sieves with Artificial Neural Networks (Multilayer Perceptron) - a Contribution to Reactor Safety Research
نویسندگان
چکیده
In this contribution we describe the modelling of the differential pressure behavior of isolation materials at a sieve by artificial neural networks (ANN). The subject arranges itself in the area of the reactor safety research. Compared with [3] the number of the inputs for the connection which can be modelled was increased. Thereby the number of necessary connections is reduced and the model quality is improved.
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