| Status | 已發表Published |
| Computational Intelligence Approaches for Identification of Engine Performance under Ethanol-Gasoline Blends | |
Wong, K.I. ; Wong, P. K.; Vong, C. M.
| |
| 2014-09-01 | |
| Source Publication | Proceedings of 12th International Symposium on Advanced Vehicle Control
 |
| Pages | 600-602 |
| Publication Place | Japan |
| Publisher | Society of Automotve Engineers of Japan |
| Abstract | Due to their complexity nature, no exact mathematical engine models exist for engine systems. Traditional approaches such as thermodynamic modeling are very difficult to use in practice because many prior knowledge and assumptions are required. Moreover, when other fuel blends are used, the development of such engine models becomes more complicated and time-consuming. Therefore, this paper presents the use of computational intelligence approaches for the construction of engine model suitable for ethanol-gasoline blends. Unlike other previous studies where back-propagation neural networks (BPNNs) are used, this paper employs an advanced technique called extreme learning machine (ELM) to handle the engine complexity. Experiments were carried out to collect sample data for model training and verification. A comparison among BPNN and ELM on the identification of engine performance was then conducted. The model evaluation results show that ELM outperforms BPNN in terms of prediction accuracy. |
| Keyword | Modeling Engines Bio-fuel Computational Intelligence |
| Language | 英語English |
| The Source to Article | PB_Publication |
| PUB ID | 15745 |
| Document Type | Conference paper |
| Collection | Faculty of Science and Technology |
| Recommended Citation GB/T 7714 | Wong, K.I.,Wong, P. K.,Vong, C. M.. Computational Intelligence Approaches for Identification of Engine Performance under Ethanol-Gasoline Blends[C], Japan:Society of Automotve Engineers of Japan, 2014, 600-602. |
| APA | Wong, K.I.., Wong, P. K.., & Vong, C. M. (2014). Computational Intelligence Approaches for Identification of Engine Performance under Ethanol-Gasoline Blends. Proceedings of 12th International Symposium on Advanced Vehicle Control, 600-602. |
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