Ma Haile, Yao Zhong, Wu Shouyi. Solubility Neural Networks Model of α-Tocopherol in Supercritical CO2[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2001, 17(1): 129-132.
    Citation: Ma Haile, Yao Zhong, Wu Shouyi. Solubility Neural Networks Model of α-Tocopherol in Supercritical CO2[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2001, 17(1): 129-132.

    Solubility Neural Networks Model of α-Tocopherol in Supercritical CO2

    • Tocopherol has very high physiological activity. Soybean deodorizer distillate contains plentiful natural tocopherol. For extracting tocopherol from soybean deodorizer distillate, solubility of α-tocopherol in supercritical CO2 was measured. The solubility data were correlated respectively by Radial Basis Function(RBF) neural networks model and Chrastil model. Relative error of Chrastil model is 25.36%. By means of learning and training on RBF neural networks model, the average error of training set is 0.32% and that of testing set is 6.48%. RBF neural networks model is better comparatively.
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