Mathematical modelling of the physical and mechanical properties of nano-Y2O3 dispersed ferritic alloys using evolutionary algorithm-based neural network

References

Page 1

	Year	Citations
Genetic algorithms in search, optimization, and machine learning Choice Reviews Online Artificial IntelligenceSearch OptimizationComputational ScienceTutorial FashionEngineering	1989	49.3K
Training feedforward neural networks using genetic algorithms David J. Montana, Lawrence Davis International Joint Conference on Artificial Intelligence Artificial IntelligenceEvolving Neural NetworkEngineeringMachine LearningData Science	1989	998
On artificial intelligence Peter H. Schönemann Behavioral and Brain Sciences Artificial IntelligenceGet Access LinkHumanitiesEngineeringAutomated Reasoning	1985	885
Nanocrystalline materials C. Suryanarayana International Materials Reviews Materials ScienceNanocrystalline MaterialNanocrystalline MaterialsGrain BoundariesEngineering	1995	846
Novel materials synthesis by mechanical alloying/milling B.S. Murty, S. Ranganathan International Materials Reviews Materials ScienceMaterials EngineeringSolid SolubilityEngineeringPowder Metallurgy	1998	685
The mechanism of mechanical alloying J. S. Benjamin, T. E. Volin Metallurgical Transactions Materials ScienceEngineeringMechanical AlloyingMechanical EngineeringMechanochemistry	1974	666
Nanostructure formation by mechanical attrition H.‐J. Fecht Nanostructured Materials Materials ScienceEngineeringSevere Plastic DeformationNanomaterialsMechanical Engineering	1995	400
The physics of mechanical alloying in a planetary ball mill: Mathematical treatment M. Abdellaoui, Éric Gaffet Acta Metallurgica et Materialia Materials ScienceEngineeringMechanical AlloyingMechanicsMechanical Engineering	1995	299
Towards designing artificial neural networks by evolution Xin Yao, Yong Liu Applied Mathematics and Computation Artificial IntelligenceEvolving Neural NetworkEngineeringArtificial Neural NetworksComputational Neuroscience	1998	148
G-Prop: Global optimization of multilayer perceptrons using GAs Pedro Á. Castillo, J. J. Merelo, A. Prieto, Neurocomputing EngineeringMachine LearningLarge Scale OptimizationComputer ScienceMultilayer Perceptrons	2000	144

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