Adaptive neuro-fuzzy inference system optimization of natural rubber latex modified concrete’s mechanical Properties

Adaptive neuro-fuzzy inference system optimization of natural rubber latex modified concrete’s mechanical Properties

Abstract The study investigates the optimization of Natural Rubber Latex Modified Concrete (NRLMC) using an Adaptive Neuro-Fuzzy Inference System (ANFIS) to enhance predictive accuracy and material performance. Traditional laboratory testing for concrete properties is often time-consuming, costly, a...

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Bibliographic Details
Main Authors: Efiok Etim Nyah, David Ogbonna Onwuka, Joan Ijeoma Arimanwa, George Uwadiegwu Alaneme, G. Nakkeeran, Ulari Sylvia Onwuka, Chinenye Elizabeth Okere
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Neuro-fuzzy models
Poisson’s ratio
Natural rubber latex
Modulus of rigidity
Static modulus of elasticity
Online Access:https://doi.org/10.1038/s41598-025-05852-x
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