Prediction Fatigue Life of Aluminum Alloy 7075 T73 Using Neural Networks and Neuro-Fuzzy Models
Prediction Fatigue Life of Aluminum Alloy 7075 T73 Using Neural Networks and Neuro-Fuzzy Models

Mustafa S. Abdullatef; Nazhat . AlRazzaq; Mustafa M. Hasan

Volume 34, 2A , February 2016, , Page 272-283

https://doi.org/10.30684/etj.2016.112624

Abstract
  In present paper the fatigue life of aluminum alloy 7075 T73 under constant amplitude loading is predicted using ANN and ANFIS models. Many neural networks models are used for this ...  Read More ...
Study the Robustness of Automatic Voltage Regulator for Synchronous Generator Based on Neuro-Fuzzy Network
Study the Robustness of Automatic Voltage Regulator for Synchronous Generator Based on Neuro-Fuzzy Network

Abdulrahim Thiab Humod; Yasir Thaier Haider

Volume 33, 3A , April 2015, , Page 612-627

https://doi.org/10.30684/etj.33.3A.7

Abstract
  Modern power systems are complex and non-li‌near and their operating conditions can vary over a wide range, and since neuro - fuzzy networkcan be used as intelligent controllers to ...  Read More ...