Pregled bibliografske jedinice broj: 120274
Discrete Time Neural Networks Synthesis Using Interaction Activation Functions
Discrete Time Neural Networks Synthesis Using Interaction Activation Functions // Proceedings of 7th International Research/Expert Conference "Trends in the Development of Machinery and Associated Technology - TMT 2003" / Vivancos, J. ; Pureta, F. ; Ekinović, S. ; Brdarević, S. (ur.).
Barcelona: Universitat Politecnica de Catalunya ; University of Sarajevo, 2003. str. 1097-1100 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 120274 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Discrete Time Neural Networks Synthesis Using Interaction Activation Functions
Autori
Novaković, Branko ; Pavić, Ante ; Novaković, Alen
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of 7th International Research/Expert Conference "Trends in the Development of Machinery and Associated Technology - TMT 2003"
/ Vivancos, J. ; Pureta, F. ; Ekinović, S. ; Brdarević, S. - Barcelona : Universitat Politecnica de Catalunya ; University of Sarajevo, 2003, 1097-1100
Skup
Trends in the Development of Machinery and Associated Technology - TMT 2003
Mjesto i datum
Barcelona, Španjolska; Lloret de Mar, Španjolska, 15.09.2003. - 17.09.2003
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Neural Networks; Discrete Time Synthesis; Interaction Activation Functions
Sažetak
A new structure of discrete time neural networks is proposed. For this purpose the following concepts are used: (i) an introduction of an interaction activation functions, (ii) input time-varying signal distribution, (iii) time discrete domain synthesis, and (iv) one step learning iteration procedure. Simulation results, based on the synthesis of a new structure of recurrent neural network of an universal logical unit are presented. The proposed neural network synthesis procedure is useful for applications to identification and control of nonlinear dynamics systems, like industrial robots.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
