Artificial neural network and fuzzy expert system comparison for prediction of performance and emission parameters on a gasoline engine
Yazarlar (4)
Prof. Dr. Şakir TAŞDEMİR Selçuk Üniversitesi, Türkiye
Prof. Dr. İsmail Sarıtaş Selçuk Üniversitesi, Türkiye
Prof. Dr. Murat Ciniviz Selçuk Üniversitesi, Türkiye
Novruz Allahverdi
Kto Karatay Üniversitesi, Türkiye
Makale Türü Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı Expert Systems with Applications (Q1)
Dergi ISSN 0957-4174 Dergi Bilgileri (2011)
Dergi Tarandığı Indeksler SCI-Expanded
Makale Dili İngilizce Basım Tarihi 05-2011
Cilt / Sayı / Sayfa 38 / 11 / 13912–13923 DOI 10.1016/j.eswa.2011.04.198
Makale Linki http://linkinghub.elsevier.com/retrieve/pii/S0957417411007251
UAK Araştırma Alanları
Yapay Zeka
Özet
This study is deals with artificial neural network (ANN) and fuzzy expert system (FES) modelling of a gasoline engine to predict engine power, torque, specific fuel consumption and hydrocarbon emission. In this study, experimental data, which were obtained from experimental studies in a laboratory environment, have been used. Using some of the experimental data for training and testing an ANN for the engine was developed. Also the FES has been developed and realized. In this systems output parameters power, torque, specific fuel consumption and hydrocarbon emission have been determined using input parameters intake valve opening advance and engine speed. When experimental data and results obtained from ANN and FES were compared by t-test in SPSS and regression analysis in Matlab, it was determined that both groups of data are consistent with each other for p > 0.05 confidence interval and …
Anahtar Kelimeler
Artificial neural network | Engine emission | Engine performance | Fuzzy expert system