Computer Science, Artificial Intelligence
; Computer Science, Information Systems
; Telecommunications
WOS研究方向:
Computer Science
; Telecommunications
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 Italy) region. Both the used soft computing methods show low error rates, and the Genetic Programming offers the advantage of an explicit representation of the factors that favour or delay the desertification. This methodology allows preventive actions to face the upcoming desertification.
1.Univ Sannio, Dept Law Econ Management & Quantitat Methods DEMM, Via Puglie 76, I-82100 Benevento, Italy 2.Univ Sannio, DST, Via Port Arsa 11, I-82100 Benevento, Italy
Recommended Citation:
Rampone, Salvatore,Valente, Alessio. Assessment of desertification vulnerability using soft computing methods[J]. JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING,2019-01-01,10(2):701-707