A mathematical method and artificial neural network modeling to simulate osmosis membrane’s performance
作者： E. S. Salami , M. Ehetshami , A. Karimi-Jashni , M. Salari , S. Nikbakht Sheibani
DOI: 10.1007/S40808-016-0261-0
关键词:
摘要: Lack of fresh water has been a major obstacle to development and flourishing in human history. Desalination provides new vision toward production the upcoming future. The study proposed simple mathematical equation ANN models simulate eight types sea RO membranes. Artificial Neural Network (ANN) have developed TDS corresponding temperature (T, °C), flow rate (gpm) recovery percentage. feed data was generated by ROSA software. model using rational method. were trained feed-forward back propagation algorithm with two hidden layers various numbers neurons each layer. verification analysis proved both be highly accurate, reliable practical for analyzing, designing, operating optimizing systems. correlation coefficients (R) 0.96 0.97, respectively, confirmed that resulted this are good agreement measured data.
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