Preliminary communication
LEARNING PHENOMENA IN MANUFACTURING AND ARTIFICIAL NEURAL NETWORK
Miroslav Car
Full text: english pdf 413 Kb
page 25-35
downloads: 871
cite
APA 6th Edition
Car, M. (2007). LEARNING PHENOMENA IN MANUFACTURING AND ARTIFICIAL NEURAL NETWORK. Journal of Information and Organizational Sciences, 31 (1), 25-35. Retrieved from https://hrcak.srce.hr/21443
MLA 8th Edition
Car, Miroslav. "LEARNING PHENOMENA IN MANUFACTURING AND ARTIFICIAL NEURAL NETWORK." Journal of Information and Organizational Sciences, vol. 31, no. 1, 2007, pp. 25-35. https://hrcak.srce.hr/21443. Accessed 17 Aug. 2024.
Chicago 17th Edition
Car, Miroslav. "LEARNING PHENOMENA IN MANUFACTURING AND ARTIFICIAL NEURAL NETWORK." Journal of Information and Organizational Sciences 31, no. 1 (2007): 25-35. https://hrcak.srce.hr/21443
Harvard
Car, M. (2007). 'LEARNING PHENOMENA IN MANUFACTURING AND ARTIFICIAL NEURAL NETWORK', Journal of Information and Organizational Sciences, 31(1), pp. 25-35. Available at: https://hrcak.srce.hr/21443 (Accessed 17 August 2024)
Vancouver
Car M. LEARNING PHENOMENA IN MANUFACTURING AND ARTIFICIAL NEURAL NETWORK. Journal of Information and Organizational Sciences [Internet]. 2007 [cited 2024 August 17];31(1):25-35. Available from: https://hrcak.srce.hr/21443
IEEE
M. Car, "LEARNING PHENOMENA IN MANUFACTURING AND ARTIFICIAL NEURAL NETWORK", Journal of Information and Organizational Sciences, vol.31, no. 1, pp. 25-35, 2007. [Online]. Available: https://hrcak.srce.hr/21443. [Accessed: 17 August 2024]
Abstract
In the industrially advanced countries, that are different from our ex and present countries, to learning phenomena has been dedicated a significant attention for the last 60 years. One of more basic reasons is multiple purposes of results. Until now, there have been applied various approaches, methods and procedures for empirical data approximation, and in this articles some possibilities of artificial neural network application are researched.
Keywords
manufacturing process; operation operator; learning process; artificial neural network; dynamic neural network
Hrčak ID:
21443
URI
https://hrcak.srce.hr/21443
Publication date:
12.6.2007.
Visits: 1.312
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