Novel Genetic Algorithm (GA) based hybrid machine learning-pedotransfer Function (ML-PTF) for prediction of spatial pattern of saturated hydraulic conductivity

Novel Genetic Algorithm (GA) based hybrid machine learning-pedotransfer Function (ML-PTF) for prediction of spatial pattern of saturated hydraulic conductivity

Saturated hydraulic conductivity (Ks) is an important soil characteristic that controls water moves through the soil. On the other hand, its measurement is difficult, time-consuming, and expensive; hence Pedotransfer Functions (PTFs) are commonly used for its estimation. Despite significant developm...

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Bibliographic Details
Main Authors: Vijay Kumar Singh, Kanhu Charan Panda, Atish Sagar, Nadhir Al-Ansari, Huan-Feng Duan, Pradosh Kumar Paramaguru, Dinesh Kumar Vishwakarma, Ashish Kumar, Devendra Kumar, P. S. Kashyap, R. M. Singh, Ahmed Elbeltagi
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:Engineering Applications of Computational Fluid Mechanics
Subjects:
Hydraulic conductivity
Pedotransfer Functions
genetic algorithm
Multilayer Perceptron
support vector machine
Online Access:https://www.tandfonline.com/doi/10.1080/19942060.2022.2071994

Internet

https://www.tandfonline.com/doi/10.1080/19942060.2022.2071994

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