Pregled bibliografske jedinice broj: 176398
Discrete time neural network syntesis using interaction activation functions
Discrete time neural network syntesis using interaction activation functions // 7th International Research/Expert Conference "Trends in the development of machinery and associated technoogy" TMT 2003
Lloret de Mar, 2003. str. 1097-1100 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 176398 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Discrete time neural network syntesis 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
7th International Research/Expert Conference "Trends in the development of machinery and associated technoogy" TMT 2003
/ - Lloret de Mar, 2003, 1097-1100
Skup
7th International Research/Expert Conference "Trends in the development of machinery and associated technoogy" 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 network; discrete time synthesis; interaction activation functions
Sažetak
A new structure of descrete 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 (iiii) one step learning iteration procedure. Simulation results, based on the synthesis of a new structure of a recurrent neural network of an universal logical unit are presented. The proposal neural network synthesis precedure is useful for applications to identification and control of nonlinear dynamic systems, like industrial robots.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
