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Statements

Subject Item
n2:RIV%2F00216305%3A26210%2F99%3A00000156%21RIV%2F2000%2FMSM%2F262100
rdf:type
skos:Concept n11:Vysledek
dcterms:description
This contribution deals with the design of ANFIS (Adaptive Neuro-Fuzzy Inference System) structure for identification of non-linear dynamic systems. The described approach connects useful properties of fuzzy system (intuitive description of system behaviour) with the learning ability of neural networks. It also substantially eliminates the problem of the optimum neural network topology design. Identification of harmonically excited system with non-linear dumping and stiffness is included as the example. This contribution deals with the design of ANFIS (Adaptive Neuro-Fuzzy Inference System) structure for identification of non-linear dynamic systems. The described approach connects useful properties of fuzzy system (intuitive description of system behaviour) with the learning ability of neural networks. It also substantially eliminates the problem of the optimum neural network topology design. Identification of harmonically excited system with non-linear dumping and stiffness is included as the example.
dcterms:title
Identification of non-linear dynamic systems using neuro-fuzzy networks Identification of non-linear dynamic systems using neuro-fuzzy networks
skos:prefLabel
Identification of non-linear dynamic systems using neuro-fuzzy networks Identification of non-linear dynamic systems using neuro-fuzzy networks
skos:notation
RIV/00216305:26210/99:00000156!RIV/2000/MSM/262100
n3:strany
111
n3:aktivita
n9:Z n9:P
n3:aktivity
P(GA101/98/0972), P(VS96122), Z(MSM 261100009)
n3:dodaniDat
n8:2000
n3:domaciTvurceVysledku
Březina, Tomáš Doležal, Rudolf Krejsa, Jiří
n3:druhVysledku
n16:D
n3:duvernostUdaju
n7:S
n3:entitaPredkladatele
n6:predkladatel
n3:idSjednocenehoVysledku
742299
n3:idVysledku
RIV/00216305:26210/99:00000156
n3:jazykVysledku
n12:eng
n3:klicovaSlova
fuzzy inference; neural networks; system identification
n3:klicoveSlovo
n14:system%20identification n14:neural%20networks n14:fuzzy%20inference
n3:kontrolniKodProRIV
[A4DC4535E7F5]
n3:mistoVydani
Brno, ČR
n3:nazevZdroje
Mechatronics and robotics ´99
n3:obor
n4:JD
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n15:VS96122 n15:GA101%2F98%2F0972
n3:rokUplatneniVysledku
n8:1999
n3:tvurceVysledku
Březina, Tomáš Doležal, Rudolf Krejsa, Jiří
n3:zamer
n19:MSM%20261100009
s:numberOfPages
6
n18:hasPublisher
Institute of Mechatronics
n13:organizacniJednotka
26210