Pregled bibliografske jedinice broj: 114292
Artificial neural network and genetic algorithms in aluminum extrusion
Artificial neural network and genetic algorithms in aluminum extrusion // Intelligent Manufacturing & Automation: Learning from the Nature / B. Katalinic (ur.).
Beč: DAAAM International Vienna, 2002. str. 321-322 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Artificial neural network and genetic algorithms in aluminum extrusion
Autori
Lozina, Željan ; Duplančić, Igor
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Intelligent Manufacturing & Automation: Learning from the Nature
/ B. Katalinic - Beč : DAAAM International Vienna, 2002, 321-322
Skup
13th DAAAM international symposium
Mjesto i datum
Beč, Austrija, 23.10.2002. - 26.10.2002
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
aluminum; extrusion; genetic algorithms; artificial neural network
Sažetak
In this paper an attempt of optimization and control of aluminum extrusion process via artificial neural network and genetic algorithms is presented. Neural network is trained on experiment data and the extrusion process is optimized by genetic algorithms using neiral network as object function. Results are proves reliability and robustness of approach.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split
