M. T. YILMAZ Et Al. , "Construction of Predictive Models to Describe Apparent and Complex Viscosity Values of O/W Model System Meat Emulsions Using Adaptive Neuro - Fuzzy Inference System (ANFIS) and Artificial Neural Networks (ANN)," FOOD BIOPHYSICS , vol.7, no.4, pp.329-340, 2012
YILMAZ, M. T. Et Al. 2012. Construction of Predictive Models to Describe Apparent and Complex Viscosity Values of O/W Model System Meat Emulsions Using Adaptive Neuro - Fuzzy Inference System (ANFIS) and Artificial Neural Networks (ANN). FOOD BIOPHYSICS , vol.7, no.4 , 329-340.
YILMAZ, M. T., Karaman, S., Kayacıer, A., DOĞAN, M., & Yetim, H., (2012). Construction of Predictive Models to Describe Apparent and Complex Viscosity Values of O/W Model System Meat Emulsions Using Adaptive Neuro - Fuzzy Inference System (ANFIS) and Artificial Neural Networks (ANN). FOOD BIOPHYSICS , vol.7, no.4, 329-340.
YILMAZ, Mustafa Et Al. "Construction of Predictive Models to Describe Apparent and Complex Viscosity Values of O/W Model System Meat Emulsions Using Adaptive Neuro - Fuzzy Inference System (ANFIS) and Artificial Neural Networks (ANN)," FOOD BIOPHYSICS , vol.7, no.4, 329-340, 2012
YILMAZ, Mustafa T. Et Al. "Construction of Predictive Models to Describe Apparent and Complex Viscosity Values of O/W Model System Meat Emulsions Using Adaptive Neuro - Fuzzy Inference System (ANFIS) and Artificial Neural Networks (ANN)." FOOD BIOPHYSICS , vol.7, no.4, pp.329-340, 2012
YILMAZ, M. T. Et Al. (2012) . "Construction of Predictive Models to Describe Apparent and Complex Viscosity Values of O/W Model System Meat Emulsions Using Adaptive Neuro - Fuzzy Inference System (ANFIS) and Artificial Neural Networks (ANN)." FOOD BIOPHYSICS , vol.7, no.4, pp.329-340.
@article{article, author={Mustafa Tahsin YILMAZ Et Al. }, title={Construction of Predictive Models to Describe Apparent and Complex Viscosity Values of O/W Model System Meat Emulsions Using Adaptive Neuro - Fuzzy Inference System (ANFIS) and Artificial Neural Networks (ANN)}, journal={FOOD BIOPHYSICS}, year=2012, pages={329-340} }