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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| Published in: | Energy sources. Part A, Recovery, utilization, and environmental effects Vol. 40; no. 2; pp. 193 - 199 |
|---|---|
| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Taylor & Francis
17-01-2018
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| Online Access: | Get full text |
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| Abstract | 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. |
|---|---|
| AbstractList | 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. |
| Author | Azar, Ahmad Aref Baghban, Alireza |
| Author_xml | – sequence: 1 givenname: Alireza surname: Baghban fullname: Baghban, Alireza email: Alireza_baghban@alumni.ut.ac.ir organization: Chemical Engineering Department, Amirkabir University of Technology – sequence: 2 givenname: Ahmad Aref surname: Azar fullname: Azar, Ahmad Aref organization: Polymer Engineering Department, Amirkabir University of Technology |
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| Copyright | 2017 Taylor & Francis Group, LLC 2017 |
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| DOI | 10.1080/15567036.2017.1407845 |
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| EndPage | 199 |
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| PublicationTitle | Energy sources. Part A, Recovery, utilization, and environmental effects |
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| Snippet | 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... |
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| SubjectTerms | ANFIS membrane natural gas polymer separation |
| Title | ANFIS modeling of CO2 separation from natural gas using hollow fiber polymeric membrane |
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