Prediction of partition coefficients of guanidine hydrochloride in PEG-phosphate systems using neural networks developed with differential evolution algorithm

Pirdashti Mohsen; Movagharnejad Kamyar; Curteanu Silvia; Dragoi Elena Niculina; Rahimpour Farshad

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Prediction of partition coefficients of guanidine hydrochloride in PEG-phosphate systems using neural networks developed with differential evolution algorithm

机译：利用差分进化算法开发的神经网络预测盐酸胍在PEG-磷酸盐体系中的分配系数

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The complex problem of determining the partition coefficient of the guanidine hydrochloride in aqueous two-phase systems has been less studied. For this reason, an artificial neural network was developed to predict the partition coefficients of guanidine hydrochloride in poly (ethylene glycol) 4000/phosphate/guanidine hydrochloride/water system. The neural model (topology and internal structure) was determined using a neuro-evolutionary technique based on differential evolution algorithm, designed in different variants. This model was able to predict the guanidine hydrochloride concentrations in each phase with a mean relative error of 1.4%, which closely matched the experimental data. (C) 2015 The Korean Society of Industrial and Engineering Chemistry. Published by Elsevier B.V. All rights reserved.

机译：在水两相体系中确定盐酸胍分配系数的复杂问题很少研究。因此，开发了人工神经网络来预测盐酸胍在聚（乙二醇）4000 /磷酸盐/盐酸胍/水系统中的分配系数。使用基于差分进化算法的神经进化技术确定神经模型（拓扑结构和内部结构），该算法设计为不同的变体。该模型能够预测各相中盐酸胍的浓度，平均相对误差为1.4％，与实验数据非常吻合。（C）2015韩国工业和工程化学学会。由Elsevier B.V.发布。保留所有权利。

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《Journal of industrial and engineering chemistry》 |2015年第null期|共8页
作者
Pirdashti Mohsen; Movagharnejad Kamyar; Curteanu Silvia; Dragoi Elena Niculina; Rahimpour Farshad;
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正文语种 eng
中图分类化学工业;
关键词
Aqueous two-phase system; Guanidine hydrochloride; Partition coefficient; Artificial neural network; Differential evolution algorithm;

机译：水两相系统;盐酸胍;分配系数;人工神经网络;差分演化算法;

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1. Prediction of partition coefficients of guanidine hydrochloride in PEG-phosphate systems using neural networks developed with differential evolution algorithm [J] . Pirdashti Mohsen, Movagharnejad Kamyar, Curteanu Silvia, Journal of industrial and engineering chemistry . 2015,第Null期

机译：利用差分进化算法开发的神经网络预测盐酸胍在PEG-磷酸盐体系中的分配系数
2. Prediction of partition coefficients of alkaloids in ionic liquids based aqueous biphasic systems using hybrid group method of data handling(GMDH) neural network [J] . Shiva Abdolrahimi, Bahram Nasernejad, Gholamreza Pazuki Journal of Molecular Liquids . 2014,第Null期

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3. Prediction of the Partition Coefficients of Biomolecules in Polymer-Polymer Aqueous Two-Phase Systems Using the Artificial Neural Network Model [J] . G. R. PAZUKI, V. TAGHIKHANI, M. VOSSOUGHI Particulate Science and Technology: An International Journal . 2010,第1期

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Prediction of partition coefficients of guanidine hydrochloride in PEG-phosphate systems using neural networks developed with differential evolution algorithm

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