Matches in SemOpenAlex for { <https://semopenalex.org/work/W3159894051> ?p ?o ?g. }
Showing items 1 to 69 of
69
with 100 items per page.
- W3159894051 abstract "A fuzzy inference system (FIS) is a widely used modeling and simulating approach based on the concept of fuzzy set theory, fuzzy if-then rules and fuzzy logic systems. All fuzzy inference systems have an adaptive composition that parameters are set during the training process. There is not any especial instruction to change the training parameters or the structure of the fuzzy inference systems during the training process. In this paper, a new online approach is proposed to adapt some systematic parameters of a typical fuzzy inference system. Employing this approach, some training and systematic parameters are selected during the training procedure to be constant or to be adaptive. This approach is realized and examined on the Adaptive Neural-fuzzy Inference System (ANFIS) and Meta-cognitive neuro fuzzy inference system (McFIS). The training process of the McFIS consists of two portions which includes a cognitive and a meta-cognitive one. A training mechanism controls the learning process of the cognitive portion. This paper illustrates the meta-cognitive training algorithm for parameterization of the fuzzy inference systems and applies the proposed approach for functional and systematic or structural parameter selection in the meta-cognitive algorithm (McFIS) which ends to some noticeable merits. The idea is examined by numerical examples and the results are compared with other methods. It is shown that the proposed approach reveals acceptable and efficient performance in the structure selection problem." @default.
- W3159894051 created "2021-05-10" @default.
- W3159894051 creator A5016771804 @default.
- W3159894051 creator A5021018372 @default.
- W3159894051 creator A5030789582 @default.
- W3159894051 creator A5031332293 @default.
- W3159894051 date "2021-02-23" @default.
- W3159894051 modified "2023-09-26" @default.
- W3159894051 title "A New Approach Based on Fuzzy-Adaptive Structure & Parameter Learning Applied in Meta-Cognitive Algorithm for ANFIS" @default.
- W3159894051 cites W1977230515 @default.
- W3159894051 cites W1986024064 @default.
- W3159894051 cites W2120615054 @default.
- W3159894051 cites W2141526469 @default.
- W3159894051 cites W2152489898 @default.
- W3159894051 cites W2157166487 @default.
- W3159894051 cites W2285660444 @default.
- W3159894051 cites W3037826211 @default.
- W3159894051 cites W3085000398 @default.
- W3159894051 cites W3114414443 @default.
- W3159894051 doi "https://doi.org/10.1109/iccia52082.2021.9403539" @default.
- W3159894051 hasPublicationYear "2021" @default.
- W3159894051 type Work @default.
- W3159894051 sameAs 3159894051 @default.
- W3159894051 citedByCount "1" @default.
- W3159894051 countsByYear W31598940512023 @default.
- W3159894051 crossrefType "proceedings-article" @default.
- W3159894051 hasAuthorship W3159894051A5016771804 @default.
- W3159894051 hasAuthorship W3159894051A5021018372 @default.
- W3159894051 hasAuthorship W3159894051A5030789582 @default.
- W3159894051 hasAuthorship W3159894051A5031332293 @default.
- W3159894051 hasConcept C11413529 @default.
- W3159894051 hasConcept C119857082 @default.
- W3159894051 hasConcept C154945302 @default.
- W3159894051 hasConcept C186108316 @default.
- W3159894051 hasConcept C195975749 @default.
- W3159894051 hasConcept C2776214188 @default.
- W3159894051 hasConcept C29470771 @default.
- W3159894051 hasConcept C41008148 @default.
- W3159894051 hasConcept C42011625 @default.
- W3159894051 hasConcept C5041914 @default.
- W3159894051 hasConcept C58166 @default.
- W3159894051 hasConceptScore W3159894051C11413529 @default.
- W3159894051 hasConceptScore W3159894051C119857082 @default.
- W3159894051 hasConceptScore W3159894051C154945302 @default.
- W3159894051 hasConceptScore W3159894051C186108316 @default.
- W3159894051 hasConceptScore W3159894051C195975749 @default.
- W3159894051 hasConceptScore W3159894051C2776214188 @default.
- W3159894051 hasConceptScore W3159894051C29470771 @default.
- W3159894051 hasConceptScore W3159894051C41008148 @default.
- W3159894051 hasConceptScore W3159894051C42011625 @default.
- W3159894051 hasConceptScore W3159894051C5041914 @default.
- W3159894051 hasConceptScore W3159894051C58166 @default.
- W3159894051 hasLocation W31598940511 @default.
- W3159894051 hasOpenAccess W3159894051 @default.
- W3159894051 hasPrimaryLocation W31598940511 @default.
- W3159894051 hasRelatedWork W1822851171 @default.
- W3159894051 hasRelatedWork W2110526953 @default.
- W3159894051 hasRelatedWork W2118635083 @default.
- W3159894051 hasRelatedWork W2124491627 @default.
- W3159894051 hasRelatedWork W2132937254 @default.
- W3159894051 hasRelatedWork W2154201233 @default.
- W3159894051 hasRelatedWork W2889019101 @default.
- W3159894051 hasRelatedWork W3031509314 @default.
- W3159894051 hasRelatedWork W32657058 @default.
- W3159894051 hasRelatedWork W4289262879 @default.
- W3159894051 isParatext "false" @default.
- W3159894051 isRetracted "false" @default.
- W3159894051 magId "3159894051" @default.
- W3159894051 workType "article" @default.