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Journal Neurocomputers №3 for 2013 г.
Article in number:
Neural network algorithms for information processing in the problems of engineering oil production company network diagnosis
Keywords: adaptive segmentation hybrid neural network monitoring and state diagnosis
Authors:
А.M. Vulfin, A.I. Frid
Abstract:
Technological time series is important for diagnosing technical object. They are major source of information. The aim is to increase the efficiency of algorithms for intelligent processing of information for diagnosing engineering network. The construction of the diagnostic model for recognizing situations appearing on the objects of the engineering network of oil production carried out according to the methodology CRISP-DM and consists of several stages. To build system processing diagnostic information expert assessment of the state utilities includes in it. Using neural networks and fuzzy knowledge base compositional output in intelligent decision support systems eliminates the problem of no monotonic inference. To estimate the efficiency of diagnostic data processing algorithms parameters of the oil metering are used.
Pages: 36-39
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