DocumentCode
1738079
Title
Radial-basis-function networks: learning and applications
Author
Schwenkar, F. ; Kestler, Hans A. ; Palm, Günther
Author_Institution
Ulm Univ., Germany
Volume
1
fYear
2000
fDate
2000
Firstpage
33
Abstract
We present different training algorithms for radial basis function (RBF) networks. The behaviour of RBF classifiers in three different pattern recognition applications is presented: the classification of 3-D visual objects, high-resolution electrocardiograms and handwritten digits
Keywords
electrocardiography; handwritten character recognition; learning (artificial intelligence); medical signal processing; pattern classification; radial basis function networks; 3D visual object classification; RBF classifiers; RBF networks; handwritten digits; high-resolution electrocardiograms; learning; pattern recognition; radial basis function networks; training algorithms; Biological neural networks; Biological system modeling; Brain modeling; Equations; Interpolation; Nervous system; Neurons; Pattern recognition; Polynomials; Radial basis function networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge-Based Intelligent Engineering Systems and Allied Technologies, 2000. Proceedings. Fourth International Conference on
Conference_Location
Brighton
Print_ISBN
0-7803-6400-7
Type
conf
DOI
10.1109/KES.2000.885756
Filename
885756
Link To Document