Implementation of nonlinear computing models and classical regression for predicting compressive strength of high-performance concrete

The construction sector would greatly benefit from a strategy for optimizing high-performance concrete mixtures. However, traditional proportioning techniques are insufficient because of their high prices, usage restrictions, and inability to account for nonlinear interactions between components and...

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Bibliographic Details
Main Authors:	M.M Jibril, M.A Zayyan, Salim Idris Malami, A.G. Usman, Babatunde A. Salami, Abdulazeez Rotimi, S.I. Abba
Format:	Article
Language:	English
Published:	Elsevier 2023-09-01
Series:	Applications in Engineering Science
Subjects:	High-performance concrete Feedforward neural network Elman neural network Support vector machine Multilinear regression
Online Access:	http://www.sciencedirect.com/science/article/pii/S2666496823000080

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http://www.sciencedirect.com/science/article/pii/S2666496823000080

Implementation of nonlinear computing models and classical regression for predicting compressive strength of high-performance concrete

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