Scopus
YÖKSİS DOI Eşleşti
SJR Q1
Prediction of diesel engine performance using biofuels with artificial neural network
Expert Systems with Applications · Ocak 2010
YÖKSİS Kayıtları
Prediction of diesel engine performance using biofuels with artificial neural network
Expert Systems with Applications · 2010 SCI-Expanded 53 atıf
Prof. Dr. İSMAİL SARITAŞ →
YÖKSİS Kayıtları — ISSN Eşleşmesi
Game-theoretic DEA Optimization for Sustainable Agricultural Carbon Trading: Evidence from Türkiye’s Maize Production
2026 ISSN: 0957-4174 SCI-Expanded Q1
Prof. Dr. ZEKİ BAYRAMOĞLU →
Web based medical decision support system application of Coronary Heart Disease diagnosis with Boolean functions minimization method
2011 ISSN: 09574174 SCI
Prof. Dr. FATİH BAŞÇİFTÇİ →
Modeling and prediction of surface roughness in turning operations using artificial neural network and multiple regression method
2011 ISSN: 09574174 SCI-Expanded
Prof. Dr. MEHMET ÇUNKAŞ →
A fuzzy clustering approach for finding similar documents using a novel similarity measure
2007 ISSN: 0957-4174 SCI-Expanded 22 atıf
Doç. Dr. KEMAL TÜTÜNCÜ →
A new approach on search for similar documents with multiple categories using fuzzy clustering
2008 ISSN: 0957-4174 SCI-Expanded
Doç. Dr. KEMAL TÜTÜNCÜ →
Organizational strategy development in distribution channel management using fuzzy AHP and hierarchical fuzzy TOPSIS
2012 ISSN: 09574174 SCI-Expanded
Prof. Dr. NİMET YAPICI PEHLİVAN →
Artificial neural network and fuzzy expert system comparison for prediction of performance and emission parameters on a gasoline engine
2011 ISSN: 09574174 SCI-Expanded
Prof. Dr. ŞAKİR TAŞDEMİR →
Artificial neural network and fuzzy expert system comparison for prediction of performance and emission parameters on a gasoline engine
2011 ISSN: 0957-4174 SCI-Expanded 4 atıf
Prof. Dr. MURAT CİNİVİZ →
Fuzzy expert system design for operating room air-condition control systems
2009 ISSN: 0957-4174 SCI-Expanded 29 atıf Q1
Prof. Dr. İSMAİL SARITAŞ →
Prognosis of prostate cancer by artificial neural networks
2010 ISSN: 0957-4174 SCI-Expanded 30 atıf Q1
Prof. Dr. İSMAİL SARITAŞ →
Prediction of diesel engine performance using biofuels with artificial neural network
2010 ISSN: 0957-4174 SCI-Expanded 53 atıf Q1
Prof. Dr. İSMAİL SARITAŞ →
The effects of fuzzy control of magnetic flux on magnetic filter performance and energy consumption
2010 ISSN: 0957-4174 SCI-Expanded 5 atıf Q1
Prof. Dr. İSMAİL SARITAŞ →
Artificial neural network and fuzzy expert system comparison for prediction of performance and emission parameters on a gasoline engine
2011 ISSN: 0957-4174 SCI-Expanded 24 atıf Q1
Prof. Dr. İSMAİL SARITAŞ →
Anesthetic gas control with neuro fuzzy system in anesthesia
2010 ISSN: 09574174 SCI-Expanded
Prof. Dr. RÜŞTÜ GÜNTÜRKÜN →
An Adaptive Network Based Fuzzy Inference System ANFIS for the prediction of stock market return The case of the Istanbul Stock Exchange
2010 ISSN: 09574174 SCI-Expanded
Prof. Dr. MELEK ACAR →
Predicting direction of stock price index movement using artificial neural networks and support vector machines The sample of the Istanbul Stock Exchange
2011 ISSN: 09574174 SCI-Expanded
Prof. Dr. MELEK ACAR →
Predicting bank financial failures using neural networks support vector machines and multivariate statistical methods A comparative analysis in the sample of savings deposit insurance fund SDIF transferred banks in Turkey
2009 ISSN: 09574174 SCI-Expanded
Prof. Dr. MELEK ACAR →
The design of ultrasonic therapy device via fuzzy logic
2011 ISSN: 09574174 SCI-Expanded
Öğr. Gör. SEMA YILDIRIM →
Assessment of exercise stress testing with artificial neural network in determining coronary artery disease and predicting lesion localization
2009 ISSN: 09574174 SCI-Expanded
Prof. Dr. NAZİF AYGÜL →
Design of a hybrid system for the diabetes and heart diseases
2008 ISSN: 0957-4174 SCI-Expanded 85 atıf Q1
Prof. Dr. HUMAR KAHRAMANLI ÖRNEK →
Makale Bilgileri
ISSN09574174
Yayın TarihiOcak 2010
Cilt / Sayfa37 · 6579-6586
Scopus ID2-s2.0-78651467913
Özet
Biodiesel, bioethanol and biogas are the most important alternative fuels produced by using biologic origin sources. Effect of biofuel on engine performance is one of the research subjects of today. The engine experiments to test the engines are many times are hard, time consuming and high cost. Additionally, it is impossible to perform the test outside of limiting values. In this study, an artificial neural network, an artificial intelligence technique, is developed to successfully apply on automotive sector as well as many different areas of technology aiming to overcome difficulties of the experiments, minimize the cost, time and workforce waste. Diesel fuel, biodiesel, B20 and bioethanol-diesel fuel having different percentages (5%, 10%, and 15%) and biodiesel were mixed together, to use in developed artificial neural network. Mixtures were also controlled for their fuel properties and motor experiments were performed to collect the reference values. Power, moment, hourly fuel consumption and specific fuel consumption were estimated by using the artificial neural network developed by using the reference values. Estimated values and experiment results are compared. As a result, from the performed statistical analyses, it is seen that realized artificial intelligence model is an appropriate model to estimate the performance of the engine used in the experiments. Reliability value is calculated as 99.94% (p = 0.9994 and p > 0.05) by using statistical analyses. © 2010 Elsevier Ltd. All rights reserved.
Yazarlar (3)
1
Hidayet Oǧuz
2
Ismail Saritas
3
Hakan Emre Baydan
Anahtar Kelimeler
Artificial neural network
Biodiesel
Bioethanol
E-diesel
Engine performance
Kurumlar
Selçuk Üniversitesi
Selçuklu Turkey
Son Atıflar
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Scimago Dergi (ISSN Eşleşmesi)
Expert Systems with Applications
Q1
SJR Skoru1,854
H-Index290
YayıncıElsevier Ltd
ÜlkeUnited Kingdom
Artificial Intelligence (Q1)
Computer Science Applications (Q1)
Engineering (miscellaneous) (Q1)
Metrikler
168
Atıf
3
Yazar
5
Anahtar Kelime