Soft Computing Prediction of Oil Extraction from Huracrepitan Seeds
This study analyses the extraction process parameters of huracrepitan seed oil using the Adaptive Neuro-Fuzzy Inference System (ANFIS) and Artificial Neural Network (ANN). The experiments were conducted at temperature (60–80 °C), time (4–6 h), and solute/solvent ratio (0.05–0.10) with output paramet...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Croatian Society of Chemical Engineers
2020-11-01
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| Series: | Kemija u Industriji |
| Subjects: | |
| Online Access: | http://silverstripe.fkit.hr/kui/assets/Uploads/7-653-658.pdf |
| _version_ | 1819021219759915008 |
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| author | Kenechi Nwosu-Obieogu Felix Aguele Linus Chiemenem |
| author_facet | Kenechi Nwosu-Obieogu Felix Aguele Linus Chiemenem |
| author_sort | Kenechi Nwosu-Obieogu |
| collection | DOAJ |
| description | This study analyses the extraction process parameters of huracrepitan seed oil using the Adaptive Neuro-Fuzzy Inference System (ANFIS) and Artificial Neural Network (ANN). The experiments were conducted at temperature (60–80 °C), time (4–6 h), and solute/solvent ratio (0.05–0.10) with output parameter as oil yield. Sensitivity analysis shows that temperature and time had the most significant effect on the oil yield. The oil yield estimation performance indicators are: ANN (R2 = 0.999, MSE = 5.63192E-13), ANFIS (R2 = 0.36945, MSE = 0.42331). The results show that ANN gave a better prediction than ANFIS. |
| first_indexed | 2024-12-21T04:03:38Z |
| format | Article |
| id | doaj.art-2addc4b88fdd4d5891bfc78d3bb8bada |
| institution | Directory Open Access Journal |
| issn | 0022-9830 1334-9090 |
| language | English |
| last_indexed | 2024-12-21T04:03:38Z |
| publishDate | 2020-11-01 |
| publisher | Croatian Society of Chemical Engineers |
| record_format | Article |
| series | Kemija u Industriji |
| spelling | doaj.art-2addc4b88fdd4d5891bfc78d3bb8bada2022-12-21T19:16:39ZengCroatian Society of Chemical EngineersKemija u Industriji0022-98301334-90902020-11-016911-1265365810.15255/KUI.2020.006Soft Computing Prediction of Oil Extraction from Huracrepitan SeedsKenechi Nwosu-Obieogu0Felix Aguele1Linus Chiemenem2Chemical Engineering Department, Michael Okpara University of Agriculture, Umudike, Abia State, NigeriaChemical Engineering Department, Michael Okpara University of Agriculture, Umudike, Abia State, NigeriaChemical Engineering Department, Michael Okpara University of Agriculture, Umudike, Abia State, NigeriaThis study analyses the extraction process parameters of huracrepitan seed oil using the Adaptive Neuro-Fuzzy Inference System (ANFIS) and Artificial Neural Network (ANN). The experiments were conducted at temperature (60–80 °C), time (4–6 h), and solute/solvent ratio (0.05–0.10) with output parameter as oil yield. Sensitivity analysis shows that temperature and time had the most significant effect on the oil yield. The oil yield estimation performance indicators are: ANN (R2 = 0.999, MSE = 5.63192E-13), ANFIS (R2 = 0.36945, MSE = 0.42331). The results show that ANN gave a better prediction than ANFIS.http://silverstripe.fkit.hr/kui/assets/Uploads/7-653-658.pdfhuracrepitan seedextractionartificial neural network (ann)adaptive neuro-fuzzy inference system (anfis) |
| spellingShingle | Kenechi Nwosu-Obieogu Felix Aguele Linus Chiemenem Soft Computing Prediction of Oil Extraction from Huracrepitan Seeds Kemija u Industriji huracrepitan seed extraction artificial neural network (ann) adaptive neuro-fuzzy inference system (anfis) |
| title | Soft Computing Prediction of Oil Extraction from Huracrepitan Seeds |
| title_full | Soft Computing Prediction of Oil Extraction from Huracrepitan Seeds |
| title_fullStr | Soft Computing Prediction of Oil Extraction from Huracrepitan Seeds |
| title_full_unstemmed | Soft Computing Prediction of Oil Extraction from Huracrepitan Seeds |
| title_short | Soft Computing Prediction of Oil Extraction from Huracrepitan Seeds |
| title_sort | soft computing prediction of oil extraction from huracrepitan seeds |
| topic | huracrepitan seed extraction artificial neural network (ann) adaptive neuro-fuzzy inference system (anfis) |
| url | http://silverstripe.fkit.hr/kui/assets/Uploads/7-653-658.pdf |
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