| 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
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| 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 |
| Atıf Sayıları | |
| Web of Science | 69 |
| Scopus | 76 |
| Google Scholar | 117 |
| Dergi Adı | EXPERT SYSTEMS WITH APPLICATIONS |
| Kısa Adı | EXPERT SYST APPL |
| Yayıncı | PERGAMON-ELSEVIER SCIENCE LTD |
| Açık Erişim | Hayır |
| ISSN | 0957-4174 |
| E-ISSN | 1873-6793 |
| Wos Quartile | Q1 |
| Scopus Quartile | Q1 |
| Tarandığı Indeksler | SCIE , Scopus |
| WoS Kategoriler | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | OPERATIONS RESEARCH & MANAGEMENT SCIENCE |
| Scopus Kategoriler | ARTIFICIAL INTELLIGENCE | COMPUTER SCIENCE APPLICATIONS | ENGINEERING (MISCELLANEOUS) |