Matches in SemOpenAlex for { <https://semopenalex.org/work/W3171874410> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W3171874410 endingPage "266" @default.
- W3171874410 startingPage "243" @default.
- W3171874410 abstract "Abstract Over the last several decades, neuro-fuzzy systems (NFS) have been widely analyzed and described in the literature because of their many advantages. They can model the uncertainty characteristic of human reasoning and the possibility of a universal approximation. These properties allow, for example, for the implementation of nonlinear control and modeling systems of better quality than would be possible with the use of classical methods. However, according to the authors, the number of NFS applications deployed so far is not large enough. This is because the implementation of NFS on typical digital platforms, such as, for example, microcontrollers, has not led to sufficiently high performance. On the other hand, the world literature describes many cases of NFS hardware implementation in programmable gate arrays (FPGAs) offering sufficiently high performance. Unfortunately, the complexity and cost of such systems were so high that the solutions were not very successful. This paper proposes a method of the hardware implementation of MRBF-TS systems. Such systems are created by modifying a subclass of Takagi-Sugeno (TS) fuzzy-neural structures, i.e. the NFS group functionally equivalent to networks with radial basis functions (RBF). The structure of the MRBF-TS is designed to be well suited to the implementation on an FPGA. Thanks to this, it is possible to obtain both very high computing efficiency and high accuracy with relatively low consumption of hardware resources. This paper describes both, the method of implementing MRBFTS type structures on the FPGA and the method of designing such structures based on the population algorithm. The described solution allows for the implementation of control or modeling systems, the implementation of which was impossible so far due to technical or economic reasons." @default.
- W3171874410 created "2021-06-22" @default.
- W3171874410 creator A5032261516 @default.
- W3171874410 creator A5041714982 @default.
- W3171874410 creator A5043384948 @default.
- W3171874410 creator A5049905590 @default.
- W3171874410 creator A5070111001 @default.
- W3171874410 date "2021-05-29" @default.
- W3171874410 modified "2023-10-16" @default.
- W3171874410 title "Hardware Implementation of a Takagi-Sugeno Neuro-Fuzzy System Optimized by a Population Algorithm" @default.
- W3171874410 cites W152827354 @default.
- W3171874410 cites W2106504576 @default.
- W3171874410 cites W2162585354 @default.
- W3171874410 cites W2471512599 @default.
- W3171874410 cites W2497589022 @default.
- W3171874410 cites W2553417306 @default.
- W3171874410 cites W2618660430 @default.
- W3171874410 cites W2885414046 @default.
- W3171874410 cites W2915830951 @default.
- W3171874410 cites W2947428642 @default.
- W3171874410 cites W2993529497 @default.
- W3171874410 cites W3014890692 @default.
- W3171874410 cites W3032139222 @default.
- W3171874410 doi "https://doi.org/10.2478/jaiscr-2021-0015" @default.
- W3171874410 hasPublicationYear "2021" @default.
- W3171874410 type Work @default.
- W3171874410 sameAs 3171874410 @default.
- W3171874410 citedByCount "10" @default.
- W3171874410 countsByYear W31718744102021 @default.
- W3171874410 countsByYear W31718744102022 @default.
- W3171874410 countsByYear W31718744102023 @default.
- W3171874410 crossrefType "journal-article" @default.
- W3171874410 hasAuthorship W3171874410A5032261516 @default.
- W3171874410 hasAuthorship W3171874410A5041714982 @default.
- W3171874410 hasAuthorship W3171874410A5043384948 @default.
- W3171874410 hasAuthorship W3171874410A5049905590 @default.
- W3171874410 hasAuthorship W3171874410A5070111001 @default.
- W3171874410 hasBestOaLocation W31718744101 @default.
- W3171874410 hasConcept C111472728 @default.
- W3171874410 hasConcept C113775141 @default.
- W3171874410 hasConcept C11413529 @default.
- W3171874410 hasConcept C138885662 @default.
- W3171874410 hasConcept C144024400 @default.
- W3171874410 hasConcept C149635348 @default.
- W3171874410 hasConcept C149923435 @default.
- W3171874410 hasConcept C154945302 @default.
- W3171874410 hasConcept C173018170 @default.
- W3171874410 hasConcept C2779530757 @default.
- W3171874410 hasConcept C2908647359 @default.
- W3171874410 hasConcept C41008148 @default.
- W3171874410 hasConcept C42935608 @default.
- W3171874410 hasConcept C50644808 @default.
- W3171874410 hasConcept C58166 @default.
- W3171874410 hasConceptScore W3171874410C111472728 @default.
- W3171874410 hasConceptScore W3171874410C113775141 @default.
- W3171874410 hasConceptScore W3171874410C11413529 @default.
- W3171874410 hasConceptScore W3171874410C138885662 @default.
- W3171874410 hasConceptScore W3171874410C144024400 @default.
- W3171874410 hasConceptScore W3171874410C149635348 @default.
- W3171874410 hasConceptScore W3171874410C149923435 @default.
- W3171874410 hasConceptScore W3171874410C154945302 @default.
- W3171874410 hasConceptScore W3171874410C173018170 @default.
- W3171874410 hasConceptScore W3171874410C2779530757 @default.
- W3171874410 hasConceptScore W3171874410C2908647359 @default.
- W3171874410 hasConceptScore W3171874410C41008148 @default.
- W3171874410 hasConceptScore W3171874410C42935608 @default.
- W3171874410 hasConceptScore W3171874410C50644808 @default.
- W3171874410 hasConceptScore W3171874410C58166 @default.
- W3171874410 hasIssue "3" @default.
- W3171874410 hasLocation W31718744101 @default.
- W3171874410 hasOpenAccess W3171874410 @default.
- W3171874410 hasPrimaryLocation W31718744101 @default.
- W3171874410 hasRelatedWork W1175778682 @default.
- W3171874410 hasRelatedWork W1577251381 @default.
- W3171874410 hasRelatedWork W1979245393 @default.
- W3171874410 hasRelatedWork W1999093722 @default.
- W3171874410 hasRelatedWork W2375825401 @default.
- W3171874410 hasRelatedWork W2382986491 @default.
- W3171874410 hasRelatedWork W2388618054 @default.
- W3171874410 hasRelatedWork W2995926156 @default.
- W3171874410 hasRelatedWork W2998710299 @default.
- W3171874410 hasRelatedWork W3022973897 @default.
- W3171874410 hasVolume "11" @default.
- W3171874410 isParatext "false" @default.
- W3171874410 isRetracted "false" @default.
- W3171874410 magId "3171874410" @default.
- W3171874410 workType "article" @default.