Evaluation of machine learning methods in predicting optimum tensile strength of microwave post-cured composite tailored for weight-sensitive applications

The study evaluated the performance of various machine learning methods in predicting tensile strength of microwave post-cured composite tailored for weight-sensitive applications. Using forty six training data pairs from the Box-Behnken design plan, an Adaptive Network-based Fuzzy Inference System...

Full description

Bibliographic Details
Main Authors: Christian Emeka Okafor, Ezekiel Junior Okafor, Kingsley Okechukwu Ikebudu
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Engineering Science and Technology, an International Journal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2215098621000860