气候变化领域集成服务门户(CCPortal): Assessment of desertification vulnerability using soft computing methods

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DOI	10.1007/s12652-018-0720-8
	Assessment of desertification vulnerability using soft computing methods
	Rampone, Salvatore; Valente, Alessio
发表日期	2019-02-01
ISSN	1868-5137
EISSN	1868-5145
卷号	10 期号:2 页码:701-707
英文摘要	In this work Artificial Neural Networks and Genetic Programming are applied in order to assess the desertification status, a kind of land degradation, of an area, from meteorological and land use data. The approach has been tested in the Sannio (central I
关键词	Desertification Soft computing Artificial neural networks Genetic programming Central Italy
学科领域	Computer Science, Artificial Intelligence;Computer Science, Information Systems;Telecommunications
语种	英语
WOS记录号	WOS:000458118400020
来源期刊	JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/83118
作者单位	Univ Sannio, Dept Law Econ Management & Quantitat Methods DEMM, Via Puglie 76, I-82100 Benevento, Italy
推荐引用方式 GB/T 7714	Rampone, Salvatore,Valente, Alessio. Assessment of desertification vulnerability using soft computing methods[J],2019,10(2):701-707.
APA	Rampone, Salvatore,&Valente, Alessio.(2019).Assessment of desertification vulnerability using soft computing methods.JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING,10(2),701-707.
MLA	Rampone, Salvatore,et al."Assessment of desertification vulnerability using soft computing methods".JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING 10.2(2019):701-707.