New type of neural networks for rendering graph points

• Autorzy: Nedbalek J.
• Języki publikacji: EN

Abstrakty

EN

The paper demonstrates new approach of rendering the graph point series called gantts. The gantts are placed in the two dimensional graph which contains the information about available production sources in the Real manufacturing process. The gantt is defined as one dimensional coloured dash which has unique position. To have the interaction with a user, gantts are accompanied with the description text giving detailed information about each gantt. All gantt descriptions must be displayed without overlapping with each other. To optimize this task, the modified version of the RBF neural network with biases is applied. With respect to the similarity to the RBF structure, the new type of neural network is named RBF 2. We also give the picture of positive and negative attributes of the solution based on the neural network architecture.

Słowa kluczowe

EN

description; gantt; graph; RBF 2; neural network

• Wydawca: Polskie Towarzystwo Bezpieczeństwa i Niezawodności
• Czasopismo: Journal of Polish Safety and Reliability Association
• Rocznik: 2010
• Tom: Vol. 1, No. 1
• Strony: 181--186
• Opis fizyczny: Bibliogr. 5 poz., rys., tab., wykr.

Twórcy

autor

Nedbalek J.

• VŠB – Technical University of Ostrava, Ostrava Poruba, Czech Republic

Bibliografia

• [1] Gantt, H. L. (1910).Work, Wages and Profit. The Engineering magazine, New York, 1910. http://en.wikipedia.org/wiki/Gantt.
• [2] Nedbálek, J. (2010). The quality of graphical data display. Proc. ESREL 2009 Conference, Reliability, Risk & Safety: Theory and Applications, ISBN 978-0-415-55509-8, Taylor & Francis Group, pg. 2041-2044.
• [3] Chen, S., Cowan, C. F. N. & Grant, P. M. (1991). Orthogonal Least Squares Learning Algorithm for Radial Basis Function Networks. IEEE Transactions on Neural Networks, Vol. 2(2): 302-309.
• [4] Yee, P. V. & Haykin, S. (2001). Regularized Radial Basis Function Networks: Theory and Applications. John Wiley.
• [5] Šnorek, M. (2004). Neuronové sítě a neuropočítače. ČVUT, Praha.