H. Badem Et Al. , "A new efficient training strategy for deep neural networks by hybridization of artificial bee colony and limited-memory BFGS optimization algorithms," NEUROCOMPUTING , vol.266, pp.506-526, 2017
Badem, H. Et Al. 2017. A new efficient training strategy for deep neural networks by hybridization of artificial bee colony and limited-memory BFGS optimization algorithms. NEUROCOMPUTING , vol.266 , 506-526.
Badem, H., BAŞTÜRK, A., ÇALIŞKAN, A., & YÜKSEL, M. E., (2017). A new efficient training strategy for deep neural networks by hybridization of artificial bee colony and limited-memory BFGS optimization algorithms. NEUROCOMPUTING , vol.266, 506-526.
Badem, Hasan Et Al. "A new efficient training strategy for deep neural networks by hybridization of artificial bee colony and limited-memory BFGS optimization algorithms," NEUROCOMPUTING , vol.266, 506-526, 2017
Badem, Hasan Et Al. "A new efficient training strategy for deep neural networks by hybridization of artificial bee colony and limited-memory BFGS optimization algorithms." NEUROCOMPUTING , vol.266, pp.506-526, 2017
Badem, H. Et Al. (2017) . "A new efficient training strategy for deep neural networks by hybridization of artificial bee colony and limited-memory BFGS optimization algorithms." NEUROCOMPUTING , vol.266, pp.506-526.
@article{article, author={Hasan BADEM Et Al. }, title={A new efficient training strategy for deep neural networks by hybridization of artificial bee colony and limited-memory BFGS optimization algorithms}, journal={NEUROCOMPUTING}, year=2017, pages={506-526} }