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...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
EDP Sciences
2018
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/23251/ 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 |