Application of ANFIS hybrids to predict coefficients of curvature and uniformity of treated unsaturated lateritic soil for sustainable earthworks

Application of ANFIS hybrids to predict coefficients of curvature and uniformity of treated unsaturated lateritic soil for sustainable earthworks

Unsaturated lateritic soils are complex soils to work with due to moisture effects. So, the determination of its properties requires lots of time, labor and equipment. For this reason, the application of evolutionary learning techniques has been adopted to overcome these complexities. Lateritic soil...

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Bibliographic Details
Main Authors: Kennedy C. Onyelowe, Jamshid Shakeri, Hasel Amini-Khoshalann, A. Bunyamin Salahudeen, Emmanuel E. Arinze, Hyginus U. Ugwu
Format: Article
Language:English
Published: Elsevier 2021-12-01
Series:Cleaner Materials
Subjects:
Soft computing
Unsaturated lateritic soil coefficients of curvature and uniformity
Hybrid Cement (HC)
Adaptive Neuro Fuzzy Inference System (ANFIS): ANFIS-PSO, ANFIS-ACO, ANFIS-GA and ANFIS-DE
Multiple linear regression
Nanostructured Quarry Fines (NQF)
Online Access:http://www.sciencedirect.com/science/article/pii/S2772397621000058

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http://www.sciencedirect.com/science/article/pii/S2772397621000058

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