Neural network based predictions for the liquid crystal properties of organic compounds
نویسندگان
چکیده
This paper presents a new method of predicting the liquid crystalline behavior of some organic compounds, using feed-forward neural networks. The prediction of properties is correlated with molecular weight and a series of structural characteristics estimated by mechanical molecular simulation. An efficient genetic algorithm based method is used to determine optimal topology of the neural model.
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