Parametric Optimization of the Poly (Nvinylcaprolactam) (PNVCL) Thermoresponsive Polymers Synthesis by the Response Surface Methodology and Radial Basis Function neural network

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Parametric Optimization of the Poly (Nvinylcaprolactam) (PNVCL) Thermoresponsive Polymers Synthesis by the Response Surface Methodology and Radial Basis Function neural network

A novel comparison study based on a radial basis function neural network (RBFNN) and Response Surface Methodology (RSM) is proposed to predict the conversion rate (yield) of the experimental data for PNVCL polymerization. A statistical and optimization model was performing to show the effect of each...

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Bibliographic Details
Main Authors:	Marwah Noori, Mohammed, Kamal, Yusoh, Jun Haslinda, Haji Shariffuddin
Format:	Conference or Workshop Item
Language:	English
Published:	EDP Sciences 2018
Subjects:	TP Chemical technology
Online Access:	http://umpir.ump.edu.my/id/eprint/23251/ http://umpir.ump.edu.my/id/eprint/23251/1/Parametric%20Optimization%20of%20the%20Poly%20%28Nvinylcaprolactam%29%20%28PNVCL%29.pdf

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