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@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 a 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, s.~25-33. ISBN~978-80-7464-932-5.
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