Process parameters optimization of bobbin tool friction stir welding on aluminum alloy 6061-T6 using combined artificial neural network and genetic algorithm

Combining a neural network with a genetic algorithm for process parameter optimization

Deborah F. Cook, Cliff T. Ragsdale, Raymond L. Major · Engineering Applications of Artificial Intelligence · 2000 · 228 citations

Computing, Chemical Engineering, Machine Learning +15

Effect of tool rotational speed on the microstructure and mechanical properties of bobbin tool friction stir welding of Al–Li alloy

Feifan Wang, Wenya Li, Junjun Shen et al. · Materials & Design · 2015 · 152 citations

Engineering, Materials Engineering, Materials Science +10

Optimizations of friction stir welding of aluminum alloy by using genetically optimized neural network

Ibrahim Tansel, Mustafa Demetgül, H. Okuyucu · The International Journal of Advanced Manufacturing Technology · 2009 · 92 citations · Full text

Computing, Manufacturing Engineering, Mechanical Engineering +17

The Use of Combined Neural Networks and Genetic Algorithms for Prediction of River Water Quality

Yongqi Ding, Yuanying Cai, Bowei Chen · Journal of Applied Research and Technology · 2014 · 84 citations · Full text

Engineering, Environmental Engineering, Water Resources Management +13

Experimental Investigation of Friction Stir Welding on 6061-T6 Aluminum Alloy using Taguchi-Based GRA

Assefa Asmare, Raheem Al‐Sabur, Eyob Messele · Metals · 2020 · 71 citations · Full text

Engineering, Manufacturing Engineering, Materials Engineering +16