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- W2385457590 abstract "In order to recognize oil transportation pattern correctly in digital oil depot, on the basis of analyzing typical oil transportation pattern a method is presented based on artificial neural network. Firstly this algorithm uses feedback of valves as input signal and uses oil transportation pattern as the network output to establish a neural network. Then real data are chose for training the neural network parameters offline to get network weight. Lastly the recognition effectiveness was tested by simulation. The simulation experimental results show that the method based on RBF neural network can recognize operation pattern accurately and quickly. Study results are significant for system intelligence improvement in oil depot." @default.
- W2385457590 created "2016-06-24" @default.
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- W2385457590 date "2013-01-01" @default.
- W2385457590 modified "2023-09-25" @default.
- W2385457590 title "Oil depot ShuZhuan operation pattern recognition method based on neural network" @default.
- W2385457590 hasPublicationYear "2013" @default.
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