DocumentCode
1648449
Title
On new RBF-like classifier
Author
Wojnarski, Marcin
Author_Institution
Inst. of Comput. Sci., Jagiellonian Univ., Krakow, Poland
Volume
1
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
884
Lastpage
889
Abstract
This paper presents a new neural network for solving classification problems - a local transfer function classifier (LTF-C). It has a similar architecture as the radial basis function neural network (RBF), but utilizes different training algorithms, including not only changing positions and sizes of reception fields, but also inserting and removing neurons during the training
Keywords
handwritten character recognition; learning (artificial intelligence); pattern classification; radial basis function networks; transfer functions; handwritten character recognition; learning algorithm; local transfer function classifier; network architecture; pattern classification; radial basis function neural network; reception fields; training set; Character recognition; Computer architecture; Computer science; Filling; Handwriting recognition; Neural networks; Neurons; Radial basis function networks; Shape; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location
Honolulu, HI
ISSN
1098-7576
Print_ISBN
0-7803-7278-6
Type
conf
DOI
10.1109/IJCNN.2002.1005591
Filename
1005591
Link To Document