KAHRAMAN, H. T. Et Al. 2012. A new approach to predict the excitation current and parameter weightings of synchronous machines based on genetic algorithm-based k-NN estimator. ENERGY CONVERSION AND MANAGEMENT , vol.64 , 129-138.

KAHRAMAN, H. T., Bayindir, R., & Sagiroglu, S., (2012). A new approach to predict the excitation current and parameter weightings of synchronous machines based on genetic algorithm-based k-NN estimator. ENERGY CONVERSION AND MANAGEMENT , vol.64, 129-138.

KAHRAMAN, HAMDİ, R. Bayindir, And S. Sagiroglu. "A new approach to predict the excitation current and parameter weightings of synchronous machines based on genetic algorithm-based k-NN estimator," ENERGY CONVERSION AND MANAGEMENT , vol.64, 129-138, 2012

KAHRAMAN, HAMDİ T. Et Al. "A new approach to predict the excitation current and parameter weightings of synchronous machines based on genetic algorithm-based k-NN estimator." ENERGY CONVERSION AND MANAGEMENT , vol.64, pp.129-138, 2012

KAHRAMAN, H. T. Bayindir, R. And Sagiroglu, S. (2012) . "A new approach to predict the excitation current and parameter weightings of synchronous machines based on genetic algorithm-based k-NN estimator." ENERGY CONVERSION AND MANAGEMENT , vol.64, pp.129-138.

@article{article, author={HAMDİ TOLGA KAHRAMAN Et Al. }, title={A new approach to predict the excitation current and parameter weightings of synchronous machines based on genetic algorithm-based k-NN estimator}, journal={ENERGY CONVERSION AND MANAGEMENT}, year=2012, pages={129-138} }