Journal Article10.1016/J.COMPAG.2015.02.010
Soft computing approaches for forecasting reference evapotranspiration
Milan Gocic,Shervin Motamedi,Shahaboddin Shamshirband,Dalibor Petković,Sudheer Ch,Roslan Hashim,Muhammad Arif +6 more
174
TL;DR: SVM-Wavelet model was found to perform better than the GP, SVM-FFA and ANN models and have higher correlation coefficient as compared to ANN and GP computational methods.
read more
About: This article is published in Computers and Electronics in Agriculture. The article was published on 01 Apr 2015. The article focuses on the topics: Coefficient of determination & Correlation coefficient.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Evaluation of SVM, ELM and four tree-based ensemble models for predicting daily reference evapotranspiration using limited meteorological data in different climates of China
Junliang Fan,Wenjun Yue,Lifeng Wu,Lifeng Wu,Fucang Zhang,Huanjie Cai,Xiukang Wang,Xianghui Lu,Youzhen Xiang +8 more
TL;DR: In this paper, the authors evaluated the potential of tree-based assemble algorithms (i.e., random forest, M5 model tree, gradient boosting decision tree and extreme gradient boosting) for estimating daily evapotranspiration (ET0) with limited meteorological data using a K-fold cross-validation method.
436
Evaluation of CatBoost method for prediction of reference evapotranspiration in humid regions
Guomin Huang,Guomin Huang,Lifeng Wu,Lifeng Wu,Xin Ma,Weiqiang Zhang,Junliang Fan,Xiang Yu,Wenzhi Zeng,Hanmi Zhou +9 more
TL;DR: In this article, the authors evaluated the potential of a new machine learning algorithm using gradient boosting on decision trees with categorical features support (i.e., CatBoost) for accurately estimating daily ET0 with limited meteorological data in humid regions of China.
417
Light Gradient Boosting Machine: An efficient soft computing model for estimating daily reference evapotranspiration with local and external meteorological data
TL;DR: Wang et al. as discussed by the authors evaluated the efficiency of a new tree-based soft computing model, Light Gradient Boosting Machine (LightGBM), for estimating daily ETo using limited local and external (cross-station) meteorological data from 49 weather stations in humid subtropical region of China.
283
Estimation of reference evapotranspiration in Brazil with limited meteorological data using ANN and SVM - a new approach.
Lucas Borges Ferreira,Fernando França da Cunha,Rubens Alves de Oliveira,Elpídio Inácio Fernandes Filho +3 more
TL;DR: In this article, the authors evaluated the performance of artificial neural network (ANN) and support vector machine (SVM) models for the estimation of daily ETo across the entirety of Brazil using measured data on temperature and relative humidity or only temperature.
269
Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model
Zaher Mundher Yaseen,Zaher Mundher Yaseen,Isa Ebtehaj,Hossein Bonakdari,Ravinesh C. Deo,Ali Danandeh Mehr,Wan Hanna Melini Wan Mohtar,Lamine Diop,Lamine Diop,Ahmed El-Shafie,Vijay P. Singh +10 more
TL;DR: In this paper, a hybrid adaptive Neuro-Fuzzy Inference Systems (ANFIS) approach was proposed for monthly streamflow forecasting. But the results of the ANFIS-FFA model are compared with the classical ANFis model, which utilizes the fuzzy c-means (FCM) clustering method in the Fuzzy inference system (FIS).
245
References
•Book
The Nature of Statistical Learning Theory
Vladimir Vapnik
- 01 Jan 1995
TL;DR: Setting of the learning problem consistency of learning processes bounds on the rate of convergence ofLearning processes controlling the generalization ability of learning process constructing learning algorithms what is important in learning theory?
46K
Statistical learning theory
Vladimir Vapnik
- 01 Jan 1998
TL;DR: Presenting a method for determining the necessary and sufficient conditions for consistency of learning process, the author covers function estimates from small data pools, applying these estimations to real-life problems, and much more.
30.4K
•Book
Crop evapotranspiration : guidelines for computing crop water requirements
Richard G. Allen,Luis S. Pereira,Dirk Raes,Martin Smith +3 more
- 01 Jan 1998
TL;DR: In this paper, an updated procedure for calculating reference and crop evapotranspiration from meteorological data and crop coefficients is presented, based on the FAO Penman-Monteith method.
25.6K
A theory for multiresolution signal decomposition: the wavelet representation
TL;DR: In this paper, it is shown that the difference of information between the approximation of a signal at the resolutions 2/sup j+1/ and 2 /sup j/ (where j is an integer) can be extracted by decomposing this signal on a wavelet orthonormal basis of L/sup 2/(R/sup n/), the vector space of measurable, square-integrable n-dimensional functions.
•Book
Genetic Programming: On the Programming of Computers by Means of Natural Selection
John R. Koza
- 01 Jan 1992
TL;DR: This book discusses the evolution of architecture, primitive functions, terminals, sufficiency, and closure, and the role of representation and the lens effect in genetic programming.
15K