Matches in SemOpenAlex for { <https://semopenalex.org/work/W2552227863> ?p ?o ?g. }
Showing items 1 to 90 of
90
with 100 items per page.
- W2552227863 abstract "In genetic fuzzy systems (GFS) the size of the problem has a huge influence in the performance of the obtained models, since i) the fuzzy rule bases learned suffer from exponential rule explosion when the number of variables increases, and ii) the convergence time increments with the number of examples. In this paper we present S-FRULER, a scalable distributed version of FRULER which is a GFS that learns simple and linguistic TSK-1 knowledge bases for regression problems. S-FRULER obtains models with high accuracy and low complexity, whilst reducing the algorithm runtime. S-FRULER focuses on splitting the problem into smaller partitions and incorporates a feature selection process for reducing the number of variables used in each partition. Each partition is then solved independently using the FRULER algorithm. The Reduce function obtains linguistic TSK fuzzy rule bases from the information generated in each partition. S-FRULER has been validated in terms of scalability, precision and complexity using 10 large-scale datasets and has been compared with three state of the art GFSs. Experimental results show that S-FRULER scales well while achieving simple models with a linguistic approach and a precision comparable with approximative models." @default.
- W2552227863 created "2016-11-30" @default.
- W2552227863 creator A5057742985 @default.
- W2552227863 creator A5078802648 @default.
- W2552227863 creator A5086940709 @default.
- W2552227863 date "2016-07-01" @default.
- W2552227863 modified "2023-09-23" @default.
- W2552227863 title "A genetic fuzzy system for large-scale regression" @default.
- W2552227863 cites W114517082 @default.
- W2552227863 cites W1480376833 @default.
- W2552227863 cites W1982648679 @default.
- W2552227863 cites W1994672311 @default.
- W2552227863 cites W2026605904 @default.
- W2552227863 cites W2028933072 @default.
- W2552227863 cites W2050288270 @default.
- W2552227863 cites W2088487062 @default.
- W2552227863 cites W2093620744 @default.
- W2552227863 cites W2097335998 @default.
- W2552227863 cites W2103270740 @default.
- W2552227863 cites W2121573754 @default.
- W2552227863 cites W2122825543 @default.
- W2552227863 cites W2131148434 @default.
- W2552227863 cites W2146713522 @default.
- W2552227863 cites W2165643853 @default.
- W2552227863 cites W2178898486 @default.
- W2552227863 cites W2964048398 @default.
- W2552227863 doi "https://doi.org/10.1109/fuzz-ieee.2016.7737856" @default.
- W2552227863 hasPublicationYear "2016" @default.
- W2552227863 type Work @default.
- W2552227863 sameAs 2552227863 @default.
- W2552227863 citedByCount "3" @default.
- W2552227863 countsByYear W25522278632017 @default.
- W2552227863 countsByYear W25522278632019 @default.
- W2552227863 crossrefType "proceedings-article" @default.
- W2552227863 hasAuthorship W2552227863A5057742985 @default.
- W2552227863 hasAuthorship W2552227863A5078802648 @default.
- W2552227863 hasAuthorship W2552227863A5086940709 @default.
- W2552227863 hasConcept C11413529 @default.
- W2552227863 hasConcept C114614502 @default.
- W2552227863 hasConcept C134306372 @default.
- W2552227863 hasConcept C151376022 @default.
- W2552227863 hasConcept C154945302 @default.
- W2552227863 hasConcept C195975749 @default.
- W2552227863 hasConcept C2780049643 @default.
- W2552227863 hasConcept C33923547 @default.
- W2552227863 hasConcept C41008148 @default.
- W2552227863 hasConcept C42812 @default.
- W2552227863 hasConcept C48044578 @default.
- W2552227863 hasConcept C58166 @default.
- W2552227863 hasConcept C77088390 @default.
- W2552227863 hasConceptScore W2552227863C11413529 @default.
- W2552227863 hasConceptScore W2552227863C114614502 @default.
- W2552227863 hasConceptScore W2552227863C134306372 @default.
- W2552227863 hasConceptScore W2552227863C151376022 @default.
- W2552227863 hasConceptScore W2552227863C154945302 @default.
- W2552227863 hasConceptScore W2552227863C195975749 @default.
- W2552227863 hasConceptScore W2552227863C2780049643 @default.
- W2552227863 hasConceptScore W2552227863C33923547 @default.
- W2552227863 hasConceptScore W2552227863C41008148 @default.
- W2552227863 hasConceptScore W2552227863C42812 @default.
- W2552227863 hasConceptScore W2552227863C48044578 @default.
- W2552227863 hasConceptScore W2552227863C58166 @default.
- W2552227863 hasConceptScore W2552227863C77088390 @default.
- W2552227863 hasLocation W25522278631 @default.
- W2552227863 hasOpenAccess W2552227863 @default.
- W2552227863 hasPrimaryLocation W25522278631 @default.
- W2552227863 hasRelatedWork W1578628659 @default.
- W2552227863 hasRelatedWork W1606368442 @default.
- W2552227863 hasRelatedWork W2067330795 @default.
- W2552227863 hasRelatedWork W2080878722 @default.
- W2552227863 hasRelatedWork W2097346619 @default.
- W2552227863 hasRelatedWork W2102768649 @default.
- W2552227863 hasRelatedWork W2107710673 @default.
- W2552227863 hasRelatedWork W2108955458 @default.
- W2552227863 hasRelatedWork W2115442902 @default.
- W2552227863 hasRelatedWork W2134728591 @default.
- W2552227863 hasRelatedWork W2136331312 @default.
- W2552227863 hasRelatedWork W2149514613 @default.
- W2552227863 hasRelatedWork W2150813469 @default.
- W2552227863 hasRelatedWork W2159600891 @default.
- W2552227863 hasRelatedWork W2161342012 @default.
- W2552227863 hasRelatedWork W2507847988 @default.
- W2552227863 hasRelatedWork W2892977204 @default.
- W2552227863 hasRelatedWork W2916922555 @default.
- W2552227863 hasRelatedWork W372068302 @default.
- W2552227863 hasRelatedWork W635500860 @default.
- W2552227863 isParatext "false" @default.
- W2552227863 isRetracted "false" @default.
- W2552227863 magId "2552227863" @default.
- W2552227863 workType "article" @default.