DocumentCode
301282
Title
Adaptive class-specific partitioning as a means of initializing RBF-networks
Author
Kestler, H.A. ; Schwenker, F. ; Höher, M. ; Palm, G.
Author_Institution
Dept. of Neural Inf. Process., Ulm Univ., Germany
Volume
1
fYear
1995
fDate
22-25 Oct 1995
Firstpage
46
Abstract
In this paper a strategy for neural network training is described. The similarities of supervised competitive and gradient descent learning are used to construct an algorithm which initializes radial basis function networks
Keywords
adaptive systems; character recognition; feedforward neural nets; learning (artificial intelligence); adaptive class-specific partitioning; character recognition; gradient descent learning; neural network; radial basis function networks; supervised competitive learning; Data compression; Feedforward neural networks; Information processing; Kernel; Neural networks; Neurons; Phase estimation; Prototypes; Radial basis function networks; Supervised learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Conference_Location
Vancouver, BC
Print_ISBN
0-7803-2559-1
Type
conf
DOI
10.1109/ICSMC.1995.537731
Filename
537731
Link To Document