Prediction and Optimization of Polyaniline Electrospun Nanofibers Diameter Using Combination of Artificial Neural Network and Genetic Algorithm (ANN/GA)
Publish place: 4rd Conference of Separation Science and Engineering
Publish Year: 1396
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
CSSE04_019
تاریخ نمایه سازی: 13 شهریور 1396
Abstract:
In present investigation, an attempt has been made for combining of artificialneural network and genetic algorithm (ANN/GA) to predict and optimize polyanilineelectrospun nanofibers diameter. The developed ANN was a feed forward backpropagation network (3-7-1) with three inputs including applied voltage, spinningdistance and polymer solution concentration, seven neurons and one output. Geneticalgorithm was combined with ANN to optimizing the weighted connections and discovernovel architecture. High regression coefficient (R2 =0.9990) between predicted nanofibersdiameter and experimental one and small value of mean square error (MSE) have provedthe efficacy of the proposed model in the prediction process.
Authors
M Hezarjaribi
Department of chemical engineering, Faculty of chemical engineering, Babol University of Technology,P.O.BOX: ۴۸۴, Babol, Iran
Gh Bakeri
Department of chemical engineering , Faculty of chemical engineering , Babol University of Technology,P.O.BOX: ۴۸۴, Babol, Iran