The use of artificial neural networks for identifying sustainable biodiesel feedstocks
Article
| Article Title | The use of artificial neural networks for identifying sustainable biodiesel feedstocks |
|---|---|
| ERA Journal ID | 123161 |
| Article Category | Article |
| Authors | Jahirul, Mohammed I. (Author), Brown, Richard J. (Author), Senadeera, Wijitha (Author), O'Hara, Ian M. (Author) and Ristovski, Zoran D. (Author) |
| Journal Title | Energies |
| Journal Citation | 6 (8), pp. 3764-3806 |
| Number of Pages | 43 |
| Year | 2013 |
| Publisher | MDPI AG |
| Place of Publication | Switzerland |
| ISSN | 1996-1073 |
| Digital Object Identifier (DOI) | https://doi.org/10.3390/en6083764 |
| Web Address (URL) | http://www.mdpi.com/1996-1073/6/8/3764 |
| Abstract | Over the past few decades, biodiesel produced from oilseed crops and animal fat is receiving much attention as a renewable and sustainable alternative for automobile |
| Keywords | renewable energy; biodiesel; Artificial Neural Networks (ANN); second generation feedstock |
| ANZSRC Field of Research 2020 | 401703. Energy generation, conversion and storage (excl. chemical and electrical) |
| Byline Affiliations | Queensland University of Technology |
| Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q3wyx/the-use-of-artificial-neural-networks-for-identifying-sustainable-biodiesel-feedstocks
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