Research of process parameters of molecular distillation on product purity based on rough sets neural network

Abstract

Molecular distillation is a complex nonlinear chemical production process of which its mechanism is complex and contains several tight coupling variables, therefore it is difficult to establish precise mathematical model. Based on on product yield factors of the molecular distillation, this paper proposes a product purity prediction model based on rough… (More)
DOI: 10.1109/ICMLC.2013.6890488

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Cite this paper

@article{Liu2013ResearchOP, title={Research of process parameters of molecular distillation on product purity based on rough sets neural network}, author={Ke-Ping Liu and Jian-Peng Zeng and Quan Tao and Chang-Hong Jiang}, journal={2013 International Conference on Machine Learning and Cybernetics}, year={2013}, volume={01}, pages={320-326} }