Performance analysis of support vector machine, Gaussian Process Regression, sequential quadratic programming algorithms in modeling hydrogen-rich syngas production from catalyzed co-gasification of biomass wastes from oil palm
The quest to attain net-zero emissions has increased the drive for more renewable energy potential from the co-gasification of biomass. The co-gasification of coconut shell and oil palm wastes is a potential technological route to produce hydrogen-rich syngas. However, the complexity of the gaseous-...
محفوظ في:
| المؤلفون الرئيسيون: | , , , , , |
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| التنسيق: | مقال |
| منشور في: |
Elsevier Ltd
2022
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| الوصول للمادة أونلاين: | http://scholars.utp.edu.my/id/eprint/34012/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131383656&doi=10.1016%2fj.ijhydene.2022.05.066&partnerID=40&md5=dcb2acc4655ef1ea4c5ffd87b286cd47 |
| الوسوم: |
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