Pregled bibliografske jedinice broj: 5780
Recurrent neural network synthesis using interaction activation functions
Recurrent neural network synthesis using interaction activation functions // Proceedings of the 1996 IEEE International Conference on Robotics and Automation, Vol. 2 / Norman Caplan (ur.).
Minneapolis (MN): IEEE, The Institute of Electrical and Electronics Engineers, USA, 1996. str. 1608-1613 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Recurrent neural network synthesis using interaction activation functions
Autori
Novaković, Branko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 1996 IEEE International Conference on Robotics and Automation, Vol. 2
/ Norman Caplan - Minneapolis (MN) : IEEE, The Institute of Electrical and Electronics Engineers, USA, 1996, 1608-1613
Skup
The 1996 IEEE International Conference on Robotics and Automation
Mjesto i datum
Minneapolis (MN), Sjedinjene Američke Države, 22.04.1996. - 28.04.1996
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Recurrent neural networks; interaction activation functions; one-step learning
Sažetak
Abstract - A new very fast algorithm for synthesis of recurrent discrete-time neural networks (NN) is proposed. For this purpose the following concepts are employed: (i) introduction of interaction activation functions, (ii) time-varying NN weights distribution, (iii) time-discrete domain synthesis and (iiii) one-step learning iteration approach.. The proposed NN synthesis procedure is useful for applications to identification and control of nonlinear, very fast, dynamical systems. In this sense a recurrent NN for a nonlinear robot control is designed.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
POVEZANOST RADA
Projekti:
120009
Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb
Profili:
Branko Novaković
(autor)