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

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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