Artificial neural network modeling and simulation for desalination by reverse osmosis
1. Introduction The prediction of the performance of membrane ultrafiltration has to a significant extent been hampered by the lack of suitable descriptions of the physicochemical phenomena controlling membrane operation. Moreover, the effects of operating conditions on the membrane performance (permeate flux) are non-linear in nature. Therefore, finding an alternative method of predicting permeate flux proves to be a challenges in ultrafiltration processes. The aim of the present paper is to apply ANNs to simulate the crossflow microfiltration using the experimental data, and obtain predictive models based on ANN techniques for prediction of the performance index of RO pilot plant.
Wang Lei Ju Kai Lv Yongtao Wei Fan Li Wei
School of Environmental & Municipal Engineering, Xian University of Architecture and Technology, Xi the 11 electronics electret design& research institute, Xian 710065, China
国际会议
北京
英文
15-16
2011-11-24（万方平台首次上网日期，不代表论文的发表时间）