Modeling monthly pan evaporation process over the Indian central Himalayas: application of multiple learning artificial intelligence model

Modeling monthly pan evaporation process over the Indian central Himalayas: application of multiple learning artificial intelligence model

The potential of several predictive models including multiple model-artificial neural network (MM-ANN), multivariate adaptive regression spline (MARS), support vector machine (SVM), multi-gene genetic programming (MGGP), and ‘M5Tree’ were assessed to simulate the pan evaporation in monthly scale (EP...

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Bibliographic Details
Main Authors: Anurag Malik, Anil Kumar, Sungwon Kim, Mahsa H. Kashani, Vahid Karimi, Ahmad Sharafati, Mohammad Ali Ghorbani, Nadhir Al-Ansari, Sinan Q. Salih, Zaher Mundher Yaseen, Kwok-Wing Chau
Format: Article
Language:English
Published: Taylor & Francis Group 2020-01-01
Series:Engineering Applications of Computational Fluid Mechanics
Subjects:
pan evaporation
multiple model strategy
gamma test
indian central himalayas
meteorological variables
Online Access:http://dx.doi.org/10.1080/19942060.2020.1715845

Internet

http://dx.doi.org/10.1080/19942060.2020.1715845

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