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, Ş., (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., RAMAZAN BAYINDIR, And ŞEREF SAĞIROĞLU. "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, H. 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, Ş. (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={H. T. 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} }