THE INTELLIGENT SYSTEM FOR AUTOMOTIVE FUELS QUALITY DEFINITION
Volodymyr Drevetskiy
Westra@rv.uar.netNational University of Water Management and Natural Resources Use, Rivne (Ukraine)
Marko Klepach
National University of Water Management and Natural Resources Use, Rivne (Ukraine)
Abstract
An intelligent system, based on hydrodynamic method and artificial neural networks usage for automotive fuels quality definition have been developed. Artificial neural networks optimal structures for the octane number of gasoline, cetane number, cetane index of diesel fuel definition have been substantiated and their accuracy has been analyzed. The implementation of artificial neural networks by means of microcontroller-based systems has been considered.
Keywords:
Hydrodynamics, Artificial neural network, Fuels, Real-time systemsReferences
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Authors
Volodymyr DrevetskiyWestra@rv.uar.net
National University of Water Management and Natural Resources Use, Rivne Ukraine
Authors
Marko KlepachNational University of Water Management and Natural Resources Use, Rivne Ukraine
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