Warianty tytułu
Konferencja
Computer Applications in Electrical Engineering / Scientific Conference [11; April 10-12, 2006; Poznan]
Języki publikacji
Abstrakty
This paper is concerned with an overview of artificial neural networks from the point of view of the possibility of using them to process information as well as an overview of new constructions of artificial neural networks that can be used to process knowledge about electrical energy market. In particular, attention has been drawn to self-organizing neural networks and self-optimizing neural networks, which show the highest sensitivity to neural network design for examining the regularities in the operation and development of great systems of this order such as the system of electrical energy market.
Słowa kluczowe
Rocznik
Tom
Strony
51-63
Opis fizyczny
Bibliogr. 14 poz.
Twórcy
autor
- University of Podlasie
Bibliografia
- [1]Chanem M. A., Principe J. C., Euliano N. R., Lefebvre W. C.: Neural and Adaptive Systems: Fundamentals through Simulations. John Wiley & Sons, 2000.
- [2]Helt P., Paroi M., Piotrowski P.: Artificial methods in electro energetic (polish: Metody sztucznej inteligencji w elektroenergetyce). O W PW. Warszawa 2000.
- [3]Khorashadi-Zadeh H. and Sanaye-Pasand M.: Correction of Saturated Current Transformers Secondary Current Rusing ANNs. IEEE Transactions on Power Delivery, Vol. 21, No. 1, January 2006.
- [4]Korzeniowski M.: Model and implementation coding and decoding of artificial genetic code using self-organizing neural network, (polish: Model i implementacja kodowania i dekodowania sztucznego kodu genetycznego za pomocą sieci neuronowej samoorganizującej się). Dissertation on direction J. Tchórzewski. AP. Siedlce 2004.
- [5]Omondi A. R., Rajapakse J. C. [Eds.]: FPGA Implementations of Neural Networks. 2005.
- [6]Osowski S.: Neural networks for transmission of information (polish: Sieci neuronowe do przetwarzania informacji). OW PW. Warszawa 2000.
- [7]Perkowski M. A.: Multiple-Valued Quantum Circuits and Research Challenges for Logic Design and Computational Intelligence Communities. IEEE ConneCtlons. The Newsletter of the IEEE Computational Intelligence Society. Vol. 3, No. 4, Nov. 2005, pp. 6-12.
- [8]Rui X., Wunsch D. I.: Survey of Clustering Algorithms. IEEE Transactions on Neural Networks. Vol 16, Issue 3, May 2005, pp 645-678.
- [9]Rutkowski L.: Methods and technology of artificial intelligence (polish: Metody i techniki sztucznej inteligencji). WN PWN. Warszawa 2005.
- [10]Tadeusiewicz R., Rutkowski L., Chajcan J. [red.]. Proc. of the Third Conference: Neural Network and Their Applications, P. Cz.. Częstochowa-Kule 1997.
- [11]Tchórzewski J., Kłopotek M., Kujawiak M.: Comparison study of methods of searching Discovery (polish: Studium porównawcze metod prowadzenia odkryć). Studia Informatica. Nr 2(4)/2005 .
- [12]Vesato J. Himberg J., Alhoniemi E. and Parhankangas J.: Self-Organizing Map in MATLAB: the SOM Toolbox, http:www.cis.hut.fi/projects/somtoolbox.
- [13]Zieliński J.S. [red.] Intelligent management systems. Theory and application (polish: Inteligentne systemy w zarządzaniu. Teoria i praktyka). WN PWN. Warszawa 2000.
- [14]Żurada J., Barski M., Jędruch W.: Artificial Neural Network (polish: Sztuczne sieci neuronowe). WN PWN, Warszawa 1996.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.baztech-article-BPP1-0069-0035