NDLI: Estimating reference crop evapotranspiration using HGA-LSSVM

Content Provider	IEEE Xplore Digital Library
Author	Xianghong Guo Xihuan Sun Juanjuan Ma
Copyright Year	2010
Description	Author affiliation: College of Water Resources Science and Engineering, Taiyuan University of Technology, TYUT, China (Xianghong Guo; Xihuan Sun; Juanjuan Ma)
Abstract	Reference crop evapotranspiration (ETo) is the basis for estimating crop evapotranspiration and for computing crop irrigation requirements. In recent years, Least squares support vector machines (LSSVM) have been applied to forecasting in many areas of engineering. In this paper, a novel hyper-parameter selection for LSSVM regression is presented based on hybrid genetic algorithm (HGA). The HGA not only has the advantage of global searching of GA, but also the advantage of local optimization ability of Levenberg-Marquardt optimization algorithm. The LSSVM is applied to the forecasting of reference crop evapotranspiration (ETo). Three ETo prediction models of different meteorological factor input were established based on HGA-LSSVM. These models were verified by measured meteorological data. The ETo computational results by three models were in accordance with the measured results. It also indicated that three ETo prediction models based on LSSVM had the strong predictive ability. And three models predictive ability was 5 factor input LSSVM-ETo-1> 4 factor input LSSVM-ETo-2>3 factor LSSVM-ETo-3 in turn. So HGA-based hyper-parameter selection for LSSVM regression and LSSVM applied to ETo forecast are feasible.
Starting Page	1654
Ending Page	1658
File Size	295082
Page Count	5
File Format	PDF
ISBN	9781424459582
e-ISBN	9781424459612
DOI	10.1109/ICNC.2010.5584576
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Temperature distribution least square support vector hybrid genetic algorithm prediction model Predictive models Agriculture reference crop evapotranspiration Optimization Meteorology
Content Type	Text
Resource Type	Article

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