Corpus ID: 27286184

Soft computing approaches for forecasting reference evapotranspiration

Published 2015

Engineering, Computer Science

Comput. Electron. Agric.

The GP, SVM-FFA, ANN and SVM-Wavelet modeling of ET0 was reported.SVM-Wavelet had the smallest RMSE of 0.233mmday-1 in testing phase.The ANN model had the largest RMSE of 0.450mmday-1.SVM-Wavelet… Expand

Share This Paper

94 Citations

Topics from this paper

94 Citations

Comparative analysis of reference evapotranspiration equations modelling by extreme learning machine

Mathematics, Computer Science

Comput. Electron. Agric.

2016

2018

Computer Science

Acta Geophysica

2020

Mathematics

2019

Mathematics

Water Resources Management

2017

2020

Water Resources Management

2021

Mathematics, Computer Science

Comput. Electron. Agric.

2019

Computer Science

2020

Mathematics, Computer Science

Comput. Electron. Agric.

2015

...

1

2

3

4

...

References

SHOWING 1-10 OF 83 REFERENCES

Mathematics

2014

Mathematics

2008

Mathematics

2010

Engineering

Irrigation Science

2012

Mathematics

Water Resources Management

2013

Mathematics

2007

Mathematics, Computer Science

Neural Computing and Applications

2012

Mathematics

2006

Mathematics

Irrigation Science

2008

Mathematics

2002

...

1

2

3

4

...

SORT BY

Precipitation Estimation Using Support Vector Machine with Discrete Wavelet Transform

2015

Precipitation prediction is of dispensable importance in many hydrological applications. In this study, monthly precipit...

29 Citations

Appraisal of the support vector machine to forecast residential heating demand for the District Heating System based on the monthly overall natural gas consumption

Engineering

2015

DHS (District Heating System) is one of the most efficient technologies which has been used to meet residential thermal ...

35 Citations

Abstract

Topics

94 Citations

83 References

Related Papers

Stay Connected With Semantic Scholar

What Is Semantic Scholar?

Semantic Scholar is a free, AI-powered research tool for scientific literature, based at the Allen Institute for AI.

Learn More

About

About Us

Publishers

Beta Program

Contact

Research

Team

Datasets

Open Corpus

Supp.ai

Resources

Librarians

Tutorials

FAQ

API

By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy, Terms of Service, and Dataset License

ACCEPT & CONTINUE