ANFIS modeling of CO2 separation from natural gas using hollow fiber polymeric membrane

ANFIS modeling of CO2 separation from natural gas using hollow fiber polymeric membrane

The present study is proposed to develop the Adaptive Neuro-Fuzzy Inference System optimized by genetic algorithm to estimate CO 2 value in permeate stream using a hollow fiber polymeric membrane for separation of binary gas containing CO 2 and CH 4 in natural gas. To that end, a number of 65 sample...

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Bibliographic Details
Published in:Energy sources. Part A, Recovery, utilization, and environmental effects Vol. 40; no. 2; pp. 193 - 199
Main Authors: Baghban, Alireza, Azar, Ahmad Aref
Format: Journal Article
Language:English
Published: Taylor & Francis 17-01-2018
Subjects:
ANFIS
membrane
natural gas
polymer
separation
Online Access:Get full text
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Summary:The present study is proposed to develop the Adaptive Neuro-Fuzzy Inference System optimized by genetic algorithm to estimate CO 2 value in permeate stream using a hollow fiber polymeric membrane for separation of binary gas containing CO 2 and CH 4 in natural gas. To that end, a number of 65 samples was gathered from the literature. Results indicated that the proposed ANFIS model has great potential with high correlation (R 2  = 0.9993) and less error (RMSE = 0.0064) for estimation of aforementioned parameter.
ISSN:1556-7036
1556-7230
DOI:10.1080/15567036.2017.1407845