Matches in Wikidata for { <http://www.wikidata.org/entity/Q62718990> ?p ?o ?g. }
Showing items 1 to 38 of
38
with 100 items per page.
- Q62718990 description "article scientifique publié en 2017" @default.
- Q62718990 description "im Oktober 2017 veröffentlichter wissenschaftlicher Artikel" @default.
- Q62718990 description "wetenschappelijk artikel" @default.
- Q62718990 description "наукова стаття, опублікована в жовтні 2017" @default.
- Q62718990 name "Performance evaluation of GIS-based new ensemble data mining techniques of adaptive neuro-fuzzy inference system (ANFIS) with genetic algorithm (GA), differential evolution (DE), and particle swarm optimization (PSO) for landslide spatial modelling" @default.
- Q62718990 name "Performance evaluation of GIS-based new ensemble data mining techniques of adaptive neuro-fuzzy inference system (ANFIS) with genetic algorithm (GA), differential evolution (DE), and particle swarm optimization (PSO) for landslide spatial modelling" @default.
- Q62718990 type Item @default.
- Q62718990 label "Performance evaluation of GIS-based new ensemble data mining techniques of adaptive neuro-fuzzy inference system (ANFIS) with genetic algorithm (GA), differential evolution (DE), and particle swarm optimization (PSO) for landslide spatial modelling" @default.
- Q62718990 label "Performance evaluation of GIS-based new ensemble data mining techniques of adaptive neuro-fuzzy inference system (ANFIS) with genetic algorithm (GA), differential evolution (DE), and particle swarm optimization (PSO) for landslide spatial modelling" @default.
- Q62718990 prefLabel "Performance evaluation of GIS-based new ensemble data mining techniques of adaptive neuro-fuzzy inference system (ANFIS) with genetic algorithm (GA), differential evolution (DE), and particle swarm optimization (PSO) for landslide spatial modelling" @default.
- Q62718990 prefLabel "Performance evaluation of GIS-based new ensemble data mining techniques of adaptive neuro-fuzzy inference system (ANFIS) with genetic algorithm (GA), differential evolution (DE), and particle swarm optimization (PSO) for landslide spatial modelling" @default.
- Q62718990 P1433 Q62718990-F0B76BD8-1492-449E-84D5-07BB7025A6C2 @default.
- Q62718990 P1476 Q62718990-37E7DC9C-B3FD-4A35-AABD-F9178FA2D255 @default.
- Q62718990 P2093 Q62718990-61D946D9-0D0D-475A-A2ED-97BF06EC48AF @default.
- Q62718990 P304 Q62718990-A1E521E5-9955-44E3-94A9-448E8BCE8163 @default.
- Q62718990 P31 Q62718990-43C9B9E8-F009-46A7-94AB-248EF143A7A9 @default.
- Q62718990 P356 Q62718990-5FCCD17C-284F-4A79-AB7B-062D335E530E @default.
- Q62718990 P478 Q62718990-AA7830E7-6F0F-4C20-BABE-6008C224675C @default.
- Q62718990 P50 Q62718990-5CA260B0-A423-44F9-A770-C80697559B4E @default.
- Q62718990 P50 Q62718990-76E7A7BB-BC2E-480E-895A-7201EEC4FBA6 @default.
- Q62718990 P577 Q62718990-62F77974-49F5-4139-A6F7-899113B46C7F @default.
- Q62718990 P921 Q62718990-0950DAD5-0827-415F-BA51-6C10A51B50A8 @default.
- Q62718990 P921 Q62718990-2C003CD6-11F7-4C0D-B549-D89C3189F770 @default.
- Q62718990 P921 Q62718990-9DEBCC5B-3419-4460-9CE5-F25478EF3200 @default.
- Q62718990 P356 J.CATENA.2017.05.034 @default.
- Q62718990 P1433 Q15759222 @default.
- Q62718990 P1476 "Performance evaluation of GIS-based new ensemble data mining techniques of adaptive neuro-fuzzy inference system (ANFIS) with genetic algorithm (GA), differential evolution (DE), and particle swarm optimization (PSO) for landslide spatial modelling" @default.
- Q62718990 P2093 "Wei Chen" @default.
- Q62718990 P304 "310-324" @default.
- Q62718990 P31 Q13442814 @default.
- Q62718990 P356 "10.1016/J.CATENA.2017.05.034" @default.
- Q62718990 P478 "157" @default.
- Q62718990 P50 Q57108734 @default.
- Q62718990 P50 Q58661244 @default.
- Q62718990 P577 "2017-10-01T00:00:00Z" @default.
- Q62718990 P921 Q167903 @default.
- Q62718990 P921 Q172491 @default.
- Q62718990 P921 Q187787 @default.