Pregled bibliografske jedinice broj: 53299
Dynamic Neural Network in Manufacturing Operator's learning Phenomena
Dynamic Neural Network in Manufacturing Operator's learning Phenomena // Proceedings of the 10th International DAAAM Symposium Intelligent Manufacturing & Automation : Past-Present-Future / Katalinić, Branko (ur.).
Beč: DAAAM International Vienna, 1999. str. 305-306 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 53299 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Dynamic Neural Network in Manufacturing Operator's learning Phenomena
Autori
Majetić, Dubravko ; Car, Miroslav
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 10th International DAAAM Symposium Intelligent Manufacturing & Automation : Past-Present-Future
/ Katalinić, Branko - Beč : DAAAM International Vienna, 1999, 305-306
Skup
International DAAAM Symposium Intelligent Manufacturing & Automation : Past-Present-Future (10 ; 1999)
Mjesto i datum
Beč, Austrija, 21.10.1999. - 23.10.1999
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
dynamic neural network approximation; operator`s learning phenomena
Sažetak
Learning in manufacturing is phenomena with series of different titles and definitions, classificated and ordered by corresponding criterias and features, as well as with multiple and variety application of results till now in the world accomplished of a bigger number researches. Research, exhibited in this paper, accomplished on the basis of data analysis of selected sample with operation, work place, product and workman (operator) by means approach of dynamic neural network and theirs comparison with results of some previous approaches, models and methods. Research shows establishing improvement in searching of learning parameters and features by applying of dynamic neural network, expressed with increasing of simplicity, velocity, accuracy and precision in procedure. It is recommended to verify analysis procedure on a bigger sample, and to research foreseeing development legality.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo