Detailed Information on Publication Record

@inproceedings{28570,
   author = {ČERMÁK, Petr and MARTINŮ, Jiří},
   address = {Ostrava},
   booktitle = {PROCEEDINGS OF THE 20TH CZECH-JAPAN SEMINAR ON DATA ANALYSIS AND DECISION MAKING UNDER UNCERTAINTY},
   editor = {Novák, Vilém; Inuiguchi, Masahiro; Štěpnička, Martin},
   keywords = {Fuzzy; Neural Network; Tagaki-Sugeno; FUZNET-FPGA; HDL; FPGA; SMMDPU; SoC},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Ostrava},
   isbn = {978-80-7464-932-5},
   pages = {25-33},
   publisher = {University of Ostrava},
   title = {Fuzzy Neural Networks on Embedded platforms},
   url = {http://irafm.osu.cz/cjs2017/materials/cjs2017proceedings.pdf},
   year = {2017}
}

TY  - JOUR
ID  - 28570
AU  - ČERMÁK, Petr - MARTINŮ, Jiří
PY  - 2017
TI  - Fuzzy Neural Networks on Embedded platforms
PB  - University of Ostrava
CY  - Ostrava
SN  - 9788074649325
KW  - Fuzzy
KW  - Neural Network
KW  - Tagaki-Sugeno
KW  - FUZNET-FPGA
KW  - HDL
KW  - FPGA
KW  - SMMDPU
KW  - SoC
UR  - http://irafm.osu.cz/cjs2017/materials/cjs2017proceedings.pdf
L2  - http://irafm.osu.cz/cjs2017/materials/cjs2017proceedings.pdf
N2  - Fuzzy modeling is the method that describes a behavior of real systems using the fuzzy logic and the fuzzy reasoning. However, in cases when the need for real-time control of the process in embedded systems behavior arises, a standard HW platforms such as personal computers or the ARM platforms are not suitable regarding their limited performance. Additionally, there are many cases in which the conventional approaches fail due to nonlinear system behavior. The afore mentioned is the reason of involving state-of-the-art technologies such as the FPGAs and the Fuzzy Neural Networks into the chain of modeling. The Takagi-Sugeno fuzzy non-linear regression model is also one of the suitable Artificial Intelligence means for fuzzy modeling.
ER  - 

ČERMÁK, Petr and Jiří MARTINŮ. Fuzzy Neural Networks on Embedded platforms. Online. In Novák, Vilém; Inuiguchi, Masahiro; Štěpnička, Martin. \textit{PROCEEDINGS OF THE 20TH CZECH-JAPAN SEMINAR ON DATA ANALYSIS AND DECISION MAKING UNDER UNCERTAINTY}. Ostrava: University of Ostrava, 2017, p.~25-33. ISBN~978-80-7464-932-5.