ESTIMATION OF MECHANICAL PROPERTIES OF WELDED S355J2+N STEEL VIA THE ARTIFICIAL NEURAL NETWORK
Author:
Publisher
SciTech Solutions
Subject
General Engineering
Link
http://scientiairanica.sharif.edu/article_3848_d0d0c1a9f002fb6f3e22f766be77279a.pdf
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Aerial Target Identification Based on Classification Learner;2024 4th Interdisciplinary Conference on Electrics and Computer (INTCEC);2024-06-11
2. Effect of Welding Parameters on Dissimilar Pulsed Laser Joint between Nickel-Based Alloy Hastelloy X and Austenitic Stainless Steel AISI 304L;Scientia Iranica;2019-07-15
3. PREDICTION OF CRITICAL FRACTION OF SOLID IN LOW PRESSURE DIE CASTING OF ALUMINUM ALLOYS USING ARTIFICIAL NEURAL NETWORK;Scientia Iranica;2019-01-08
4. Using an optimized RBF neural network to predict the out-of-plane welding distortions based on the 3-2-1 locating scheme;Scientia Iranica;2018-01-07
5. Application of artificial neural network to estimate power generation and efficiency of a new axial flux permanent magnet synchronous generator;International Journal of Hydrogen Energy;2017-07
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