Patent ID: 7177787
Filing Date: 2007-02-13
Classification: G05B,G06N

Abstract:
1. A method intended for real-time modelling of the hydrodynamic behaviour of a multiphase fluid flow in transient phase in a pipe, considering fixed operating conditions concerning a certain number of determined structure parameters relative to the pipe and a set of determined physical quantities, with fixed variation ranges for said parameters and said physical quantities, by neural networks with inputs for structure parameters and physical quantities, and outputs where results necessary for estimation of the hydrodynamic behaviour are available, and at least one intermediate layer, the neural networks being determined iteratively so as to adjust to the values of a learning base with predetermined tables connecting different values obtained for the output data to the corresponding values of the input data, characterized in that it comprises: constructing several neural networks (E constructing a probability neural network (RN combining the results provided by the various neural networks weighted by said probabilities.