Application of Neural Network for Material Selection: A Review

International Journal of Material Science and Engineering
© 2021 by SSRG - IJMSE Journal
Volume 7 Issue 2
Year of Publication : 2021
Authors : Abdussalam Mamoon, Adamu Umar Alhaji, Ibrahim Abdullahi
How to Cite?

Abdussalam Mamoon, Adamu Umar Alhaji, Ibrahim Abdullahi, "Application of Neural Network for Material Selection: A Review," SSRG International Journal of Material Science and Engineering, vol. 7,  no. 2, pp. 1-6, 2021. Crossref,


The growing material demand due to technological advancement has motivated material engineers to develop a large variety of materials as a substitute to conventional materials. However, little attention has been given to the tools and methods that aid material selection processes. This work reviews the principle of material selection as well as other multi-criteria decision-making (MCDM) techniques used in material selection. MCDM is considered a complex decision-making tool involving both qualitative and quantitative factors. Recently, several MCDM techniques and approaches have been suggested and developed to aid the decision-making process. The main aim of this research is to systematically review the application of neural networks as MCDM technique either used individually or integrated with other MCDM techniques. With numerous developed individual and integrated approaches for material selection problems, this systematic review identified two important themes that are important, i.e., screening and ranking.


decision making, neural network, material selection, MCDM.


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