By a News Reporter-Staff News Editor at Journal of Mathematics -- Fresh data on Algorithms are presented in a new report. According to news reporting originating in Dalian, People's Republic of China, by VerticalNews journalists, research stated, "Hybrid models based on backpropagation neural network (BPNN) and genetic algorithm (GA) were constructed to optimize the fabrication of polyetherimide (PEI) ultrafiltration (UF) membrane via dry/ wet phase inversion. BPNN was employed to capture the detailed relationships between the preparation conditions and the UF membrane performances, and GA was used to choose the initial connection weights and biases of BPNN to avoid convergence at suboptimal solutions."
The news reporters obtained a quote from the research from the Dalian University of Technology, "The excellent agreements between the model predictions and the testing data indicate that the hybrid models have sufficient accuracy. The effects of preparation conditions on membrane performances were predicted by the hybrid models successfully, which indicate that PEI/N,N-dimethylacetamide (DMAc)/1,4-butyrolactone (GBL) is the best membrane casting system investigated in this study. Furthermore, the optimal preparation conditions were forecasted, and membranes with desired performances, for instance, higher pure water flux (PWF) and bovine serum albumin (BSA) rejection ratio (RR) 80-90% were fabricated with the standard deviation between the predicted performances and validation experimental values less than 10%."
According to the news reporters, the research concluded: "The hybrid models can contribute to collaborative optimization of multiple parameters and designing the preparation conditions to obtain desired UF membrane performances and avoiding large experimental data scattering in the fabrication of phase inversion membranes."
For more information on this research see: Optimization of ultrafiltration membrane fabrication using backpropagation neural network and genetic algorithm. Journal of the Taiwan Institute of Chemical Engineers, 2014;45(1):68-75. Journal of the Taiwan Institute of Chemical Engineers can be contacted at: Elsevier Science Bv, PO Box 211, 1000 Ae Amsterdam, Netherlands. (Elsevier - www.elsevier.com; Journal of the Taiwan Institute of Chemical Engineers - www.elsevier.com/wps/product/cws_home/715607)
Our news correspondents report that additional information may be obtained by contacting M. Tan, Dalian University of Technology, Sch Chem Engn, R&D Center Membrane Sci & Technol, State Key Lab Fine Chem, Dalian 116024, People's Republic of China. Additional authors for this research include G.H. He, F. Nie, L.L. Zhang and L.P. Hu.
Keywords for this news article include: Asia, Dalian, Genetics, Algorithms, Neural Networks, People's Republic of China
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