Modified Particle Swarm Optimization-Artificial Neural Network and Gene Expression Programing for Predicting High Temperature Oxidation Behavior of Ni–Cr–W-Mo Alloys
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Publisher
International Digital Organization for Scientific Information (IDOSI)
Subject
General Engineering
Cited by 4 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. Microstructure evolution of Ni-Cr-Mo superalloy fabricated by microwave-assisted combustion synthesis;Journal of Alloys and Compounds;2023-12
2. Determining the dependence of solar cell power conversion efficiency on fabrication parameters in inorganic perovskite types by programming gene expression;Physica E: Low-dimensional Systems and Nanostructures;2022-07
3. Generator Scheduling Optimization Involving Emission to Determine Emission Reduction Costs;International Journal of Engineering;2022
4. Modal Optimization Design of Supporting Structure Based on the Improved Particle Swarm Algorithm;International Journal of Engineering;2022
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