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ŠŤASTNÝ, J. ŠKORPIL, V.
Original Title
Back-Propagation and K-Means Algorithms Comparison
Type
conference paper
Language
English
Original Abstract
The paper describes the application of algorithms for object classification by using artificial neural networks. The MLP (Multi Layer Perceptron) and RBF (Radial Basis Function) neural networks were used. We compared results obtained by a using of learning algorithms Back-Propagation (BP) and K-Means. The real technological scene for object classification was simulated with digitization of two-dimensional pictures. The principles and algorithms given below have been used in an application that was developed at Brno University of Technology.
Key words in English
Image Processing, Back-Propagation Algorithm, K-Means Algorithm
Authors
ŠŤASTNÝ, J.; ŠKORPIL, V.
RIV year
2006
Released
16. 11. 2006
Publisher
The Chinese Institute of Electronics (CIE)
Location
Guilin, China
Pages from
32P1-01
Pages count
4