Application of Artificial Neural Networks in the Modeling of Drug Release from Acyclovir Nanoparticles
Publish place: 15th Iranian Natioanl Congress of Chimical Engineering
Publish Year: 1393
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ICHEC15_446
تاریخ نمایه سازی: 19 تیر 1394
Abstract:
Formulation of controlled release acyclovir loaded chitosan nanoparticles was optimized based on the optimization technique using response surface method (RSM) and artificial neural network (ANN) simultaneously to develop a model to identify relationships between variables affectingdrug nanoparticles. In this research, the goal was to create a representation of three irregular factors, i.e. concentration of acyclovir, concentration ratio of chitosan/ Tripolyphosphate (TPP) and pH on response variables. ANN was used to create a fit model of formulations via these four training algorithms including: Levenberg–Marquardt (LM), Gradient Descent (GD), Bayesian– Regularization (BR) and BFGS Quasi-Newton (BFG) were applied to train ANN containing a various hidden layer, applying the testable data as the training set.Corresponding to batch back propagation (BBP)-ANN performance, a gain in pH of polymer solution reduced the size and polydispersity index (PdI) of nanoparticles. Moreover, decreases in the concentration ratio of chitosan/TPP consequently cause an increase in entrapment efficiency (%EE).For this reason each training algorithm in order to consider the accuracy of predictive ability was evaluated and the result was as follow: LM > BFGs > GD > BR.
Keywords:
Acyclovir , Artificial neural network (ANN) , Backpropagation , Drug delivery , Response surface methodology (RSM) , Training algorithms
Authors
Shadab Shahsavari
Department of Chemical Engineering, Varamin-Pishva Branch, Islamic Azad University, Tehran, Iran
Farid Dorkoosh
Department of Chemical Engineering, Varamin-Pishva Branch, Islamic Azad University, Tehran, Iran
Shahin Shahsavari
Department of Chemical Engineering, Varamin-Pishva Branch, Islamic Azad University, Tehran, Iran
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