| Using artificial neural network models in stock market index prediction E Guresen, G Kayakutlu, TU Daim Expert systems with Applications 38 (8), 10389-10397, 2011 | 1040 | 2011 |
| Definition of artificial neural networks with comparison to other networks E Guresen, G Kayakutlu Procedia Computer Science 3, 426-433, 2011 | 148 | 2011 |
| Assessment of lean manufacturing effect on business performance using Bayesian Belief Networks G Büyüközkan, G Kayakutlu, İS Karakadılar Expert Systems with Applications 42 (19), 6539-6551, 2015 | 120 | 2015 |
| Scenario analysis using Bayesian networks: A case study in energy sector D Cinar, G Kayakutlu Knowledge-Based Systems 23 (3), 267-276, 2010 | 109 | 2010 |
| Assessing performance factors for a 3PL in a value chain G Kayakutlu, G Buyukozkan International Journal of Production Economics 131 (2), 441-452, 2011 | 98 | 2011 |
| Developing Oregon’s renewable energy portfolio using fuzzy goal programming model TU Daim, G Kayakutlu, K Cowan Computers & Industrial Engineering 59 (4), 786-793, 2010 | 82 | 2010 |
| Development of future energy scenarios with intelligent algorithms: case of hydro in Turkey D Cinar, G Kayakutlu, T Daim Energy 35 (4), 1724-1729, 2010 | 77 | 2010 |
| Effective supply value chain based on competence success G Kayakutlu, G Büyüközkan Supply Chain Management: An International Journal 15 (2), 129-138, 2010 | 73 | 2010 |
| Exploring renewable energy pricing with analytic network process—Comparing a developed and a developing economy I Iskin, T Daim, G Kayakutlu, M Altuntas Energy Economics 34 (4), 882-891, 2012 | 56 | 2012 |
| Optimisation studies on tri‐generation: a review AN Ünal, S Ercan, G Kayakutlu International Journal of Energy Research 39 (10), 1311-1334, 2015 | 51 | 2015 |
| Value stream maps for industrial energy efficiency C Keskin, U Asan, G Kayakutlu Assessment and Simulation Tools for Sustainable Energy Systems: Theory and …, 2013 | 47 | 2013 |
| Scenarios for regional waste management G Kayakutlu, T Daim, M Kunt, A Altay, Y Suharto Renewable and Sustainable Energy Reviews 74, 1323-1335, 2017 | 42 | 2017 |
| Fuzzy cognitive mapping in factor elimination: A case study for innovative power and risks A Altay, G Kayakutlu Procedia Computer Science 3, 1111-1119, 2011 | 41 | 2011 |
| A combined seasonal ARIMA and ANN model for improved results in electricity spot price forecasting: Case study in Turkey A Ozozen, G Kayakutlu, M Ketterer, O Kayalica 2016 Portland International Conference on Management of Engineering and …, 2016 | 40 | 2016 |
| Prediction of aircraft failure times using artificial neural networks and genetic algorithms A Altay, O Ozkan, G Kayakutlu Journal of Aircraft 51 (1), 47-53, 2014 | 40 | 2014 |
| Intelligence in Energy G Kayakutlu, E Mercier-Laurent Elsevier, 2016 | 33 | 2016 |
| Patent value analysis using support vector machines S Ercan, G Kayakutlu Soft computing 18, 313-328, 2014 | 33 | 2014 |
| Multi-objective particle swarm optimization with random immigrants AN Unal, G Kayakutlu Complex & Intelligent Systems 2020, 1-16, 2020 | 32 | 2020 |
| Forecasting stock exchange movements using artificial neural network models and hybrid models E Güreşen, G Kayakutlu International Conference on Intelligent Information Processing, 129-137, 2008 | 29 | 2008 |
| Identification of energy policy priorities from existing energy portfolios using hierarchical decision model and goal programming: Case of Germany and France TU Daim, W Schweinfort, G Kayakutlu, N Third International Journal of Energy Sector Management 4 (1), 24-43, 2010 | 27 | 2010 |
Ayca AltayRutgers University在 rutgers.edu 的电子邮件经过验证
