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Pregled bibliografske jedinice broj: 536908

Analysis of Iterative Learning Algorithms for the Multilayer Perceptron Neural Network


Baček, Tomislav; Majetić, Dubravko; Brezak, Danko; Kasać, Josip
Analysis of Iterative Learning Algorithms for the Multilayer Perceptron Neural Network // Proceedings of the 22nd International DAAAM Symposium "Intelligent Manufacturing & Automation: Power of Knowledge and Creativity" / Katalinic, Branko (ur.).
Beč: DAAAM International Vienna, 2011. (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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Naslov
Analysis of Iterative Learning Algorithms for the Multilayer Perceptron Neural Network

Autori
Baček, Tomislav ; Majetić, Dubravko ; Brezak, Danko ; Kasać, Josip

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 22nd International DAAAM Symposium "Intelligent Manufacturing & Automation: Power of Knowledge and Creativity" / Katalinic, Branko - Beč : DAAAM International Vienna, 2011

Skup
The 22nd DAAAM International Symposium "Intelligent Manufacturing & Automation: Power of Knowledge and Creativity"

Mjesto i datum
Beč, Austrija, 23.11.2011. - 26.11.2011

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
static neural network; adaptive activation function; prediction; nonlinear chaotic system

Sažetak
In this paper, a comparison of different algorithms used in the training of a multilayer feedforward neural network is presented. Tested algorithms, which are of the first and the second order, include both local and global adaptation techniques. Prediction of nonlinear dynamic Glass-Mackey system is used as a benchmark problem. To improve training speed and efficiency, bipolar sigmoidal activation function with adaptive gain parameter is used. Furthermore, modification of random weight initialization is proposed.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo



POVEZANOST RADA


Projekti:
120-1201842-3048 - Umjetna inteligencija u upravljanju složenim nelinearnim dinamičkim sustavima (Kasać, Josip) ( CroRIS)
120-1201948-1945 - Inteligentno vođenje obradnih sustava (Majetić, Dubravko, MZOS ) ( CroRIS)

Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb

Profili:

Avatar Url Dubravko Majetić (autor)

Avatar Url Tomislav Baček (autor)

Avatar Url Danko Brezak (autor)

Avatar Url Josip Kasać (autor)

Citiraj ovu publikaciju:

Baček, Tomislav; Majetić, Dubravko; Brezak, Danko; Kasać, Josip
Analysis of Iterative Learning Algorithms for the Multilayer Perceptron Neural Network // Proceedings of the 22nd International DAAAM Symposium "Intelligent Manufacturing & Automation: Power of Knowledge and Creativity" / Katalinic, Branko (ur.).
Beč: DAAAM International Vienna, 2011. (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Baček, T., Majetić, D., Brezak, D. & Kasać, J. (2011) Analysis of Iterative Learning Algorithms for the Multilayer Perceptron Neural Network. U: Katalinic, B. (ur.)Proceedings of the 22nd International DAAAM Symposium "Intelligent Manufacturing & Automation: Power of Knowledge and Creativity".
@article{article, author = {Ba\v{c}ek, Tomislav and Majeti\'{c}, Dubravko and Brezak, Danko and Kasa\'{c}, Josip}, editor = {Katalinic, B.}, year = {2011}, keywords = {static neural network, adaptive activation function, prediction, nonlinear chaotic system}, title = {Analysis of Iterative Learning Algorithms for the Multilayer Perceptron Neural Network}, keyword = {static neural network, adaptive activation function, prediction, nonlinear chaotic system}, publisher = {DAAAM International Vienna}, publisherplace = {Be\v{c}, Austrija} }
@article{article, author = {Ba\v{c}ek, Tomislav and Majeti\'{c}, Dubravko and Brezak, Danko and Kasa\'{c}, Josip}, editor = {Katalinic, B.}, year = {2011}, keywords = {static neural network, adaptive activation function, prediction, nonlinear chaotic system}, title = {Analysis of Iterative Learning Algorithms for the Multilayer Perceptron Neural Network}, keyword = {static neural network, adaptive activation function, prediction, nonlinear chaotic system}, publisher = {DAAAM International Vienna}, publisherplace = {Be\v{c}, Austrija} }




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