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Research Article
Optimization of performance and emission of compression ignition engine fueled with propylene glycol and biodiesel–diesel blends using artificial intelligence method of ANN-GA-RSM
Haleh Karimmaslaka Department of renewable energies, University of Mohaghegh Ardabili, Ardabil, Iran
, Bahman Najafib Department of Biosystem Engineering, University of Mohaghegh Ardabili, Ardabil, IranCorrespondence[email protected] [email protected] [email protected] [email protected] [email protected]
, Shahab S. Bandc Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam;d Future Technology Research Center, National Yunlin University of Science and Technology, Douliou, Yunlin 64002, Taiwan, ROCCorrespondence[email protected] [email protected] [email protected] [email protected] [email protected]
, Sina Ardabilib Department of Biosystem Engineering, University of Mohaghegh Ardabili, Ardabil, Iran
https://orcid.org/0000-0002-7744-7906
Farid Haghighat-Shoarb Department of Biosystem Engineering, University of Mohaghegh Ardabili, Ardabil, Iran
& Amir Mosavie Faculty of Civil Engineering, Technische Universität Dresden, Dresden, Germany;f School of Economics and Business, Norwegian University of Life Sciences, Ås, Norway;g School of the Built Environment, Oxford Brookes University, Oxford, UK;h John von Neumann Faculty of Informatics, Obuda University, Budapest, HungaryCorrespondence[email protected] [email protected] [email protected] [email protected] [email protected]
https://orcid.org/0000-0003-4842-0613
Pages 413-425
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Received 15 Jan 2020, Accepted 19 Jan 2021, Published online: 17 Feb 2021
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