Pregled bibliografske jedinice broj: 249769
Self-Organizing RBF Neural Network in Implementation of Analytic Fuzzy Logic Robot Control
Self-Organizing RBF Neural Network in Implementation of Analytic Fuzzy Logic Robot Control // Strojarstvo, 47 (2005), 1-2; 5-13 (međunarodna recenzija, članak, znanstveni)
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Naslov
Self-Organizing RBF Neural Network in Implementation of Analytic Fuzzy Logic Robot Control
Autori
Majetić, Dubravko ; Brezak, Danko ; Novaković, Branko ; Crneković, Mladen
Izvornik
Strojarstvo (0562-1887) 47
(2005), 1-2;
5-13
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Analytic Fuzzy robot control; Radial basis functions (RBF); Self-organizing neural network; Modified RBF learning algorithm; Real-time control
Sažetak
The paper presents a real-time domain implementation of a robot fuzzy logic controller (FLC) with a neural network. An adaptive and analytic FLC system synthesis of RRTR robot control, without any rule base, is implemented by Radial Basis Function (RBF) neural network. The self-organizing topology of RBF neural network with new one step learning procedure is established. The proposed neural network learning algorithm shows the great potential in solution of various regression tasks.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
POVEZANOST RADA
Projekti:
0120025
Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb
Profili:
Mladen Crneković
(autor)
Dubravko Majetić
(autor)
Branko Novaković
(autor)
Danko Brezak
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus