蚁群优化人工神经网络组合方法在柴油机智能控制系统中的应用,以减少排放和提高性能,采用实验室实验

IF 0.5 4区 工程技术 Q4 ENGINEERING, MECHANICAL
Abbas Zarenezhad Ashkezari, E. Askari
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引用次数: 0

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Combinatory method of ant colony optimisation artificial neural network in intelligent control systems for diesel engines to reduce the emissions and improve the performance, using laboratory experiments
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来源期刊
International Journal of Heavy Vehicle Systems
International Journal of Heavy Vehicle Systems 工程技术-工程:机械
CiteScore
1.30
自引率
0.00%
发文量
17
审稿时长
9 months
期刊介绍: IJHVS provides an authoritative source of information and an international forum in the field of on/off road heavy vehicle systems, including buses. It is a highly professional and refereed journal which forms part of the proceedings of the International Association for Vehicle Design. IAVD is an independent, non-profit, learned society which provides a forum for professionals in both industry and academic institutions to meet, exchange ideas and disseminate knowledge in the field of automotive engineering, technology, and management.
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