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UPDATED 1 Sept: The EI library in London is temporarily closed to the public, as a precautionary measure in light of the ongoing COVID-19 situation. The Knowledge Service will still be answering email queries via email , or via live chats during working hours (09:15-17:00 GMT). Our e-library is always open for members here: eLibrary , for full-text access to over 200 e-books and millions of articles. Thank you for your patience.
Neural network model predicts naphtha cut point. I. Wadi. OGJ, 25 November 1996, 94(48), 67--70.
Test results of a Middle East refiner's in-house neural network are reported which have shown it to be more accurate than online analysers by some 82%. Details are given of the model development, back propagation, the BP network concept, neural network applications, and model building. 4 refs.
Abstract details
Journal title: Oil and Gas Journal
Keywords: Computer applications
Subjects: Information technology, Naphtha
