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Modeling with Multilayer Perceptron for Detection of Fuel Adulteration using Python Programming
Publication year - 2018
Publication title -
petroleum and chemical industry international
Language(s) - English
Resource type - Journals
ISSN - 2639-7536
DOI - 10.33140/pcii/00001
Subject(s) - gasoline , multilayer perceptron , diesel fuel , computer science , process engineering , environmental science , pollutant , artificial neural network , automotive engineering , waste management , engineering , artificial intelligence , chemistry , organic chemistry

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