Novel hybrid models combining meta-heuristic algorithms with support vector regression (SVR) for groundwater potential mapping

Autor:	Mohammad Ahmadlou, Sangeeta Soni, Rania S. Shatnawi, Rida Al-Adamat, A’kif Al-Fugara, Abdel Al-Rahman Al-Shabeeb, Saad AlAyyash
Rok vydání:	2020
Předmět:	Support vector machine Computer science Geography Planning and Development Genetic algorithm Simulated annealing Evolutionary algorithm Meta heuristic Data mining computer.software_genre computer Water Science and Technology
Zdroj:	Geocarto International. 37:2627-2646
ISSN:	1752-0762 1010-6049
Popis:	This study aims to develop three novel GIS-based models combining Genetic Algorithm (GA), Biogeography-Based Optimization (BBO) and Simulated Annealing (SA) with Support Vector Regression (SVR) for...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b6d1a81cea4f20ad7234507afe0ff963 https://doi.org/10.1080/10106049.2020.1831622 Zobrazit plný text záznamu