Application of artificial neural networks and genetic algorithms for crude fractional distillation process modeling
نویسنده
چکیده
companion with genetic algorithms proved that they can accurately predict fractions quality shifts, reproducing the results of the standard laboratory analysis. Simple knowledge extraction method from neural network model built was also performed. Genetic algorithms can be successfully utilized in efficient training of large neural networks and finding their optimal structures.
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ورودعنوان ژورنال:
- CoRR
دوره abs/1605.00097 شماره
صفحات -
تاریخ انتشار 2016