E-journal for electrical and electronic engineers
AUTOMATYKA, ELEKTRYKA, ZAKLOCENIA
(AUTOMATICS, ELECTROTECHNICS, DISTURBANCES)
Vol. 3, Nr 2 (8) 2012
Artificial Neural Networks in Automation
Abstract
The paper presents the basic properties of learning systems. In particular, neural networks are presented with the examples of their application in automation. It also includes types of learning, structure learning and learning algorithms. The article ends with a discussion of the prospects for further applications of artificial neural networks and other learning systems.
Keywords
artificial neural networks, learning systems, learning algorithms
Fig.
Bilbiography
[1] Dembski J., Jędruch W.:, Metody uczenia się maszyn w diagnostyce układów biegowych
pojazdów szynowych za pomocą sygnałów wibroakustycznych, Pojazdy Szynowe
3/2000, str. 4-15.
[2] Duch W., Korbicz J., Rutkowski L., Tadeusiewicz R.: Sieci neuronowe. Exit, Warszawa
2000.
[3] Engelbrecht A.P.: Fundamentals of computational swarm intelligence. J. Wiley & Sons,
Chichester 2005.
[4] Jang R., Sun C., Mizutani E.: Neuro-fuzzy and soft computing. A computational Approach
to Learning and Machine Intelligence, Prentice Hall, Upper Saddle River, NJ, 1997.
[5] Michalewicz Z.: Algorytmy genetyczne + struktury danych = programy ewolucyjne.
WNT, Warszawa 1996.
[6] Moore A.: VC-dimension for characterizing classifiers, http://www.autonlab.org/
tutorials/vcdim08.pdf, 2011
[7] Rutkowski L.: Metody i techniki sztucznej inteligencji. PWN, Warszawa 2009.
[8] Żurada J., Barski M., Jędruch W.: Sztuczne sieci neuronowe. PWN, Warszawa 1996.