DocumentCode
327686
Title
Neural network initialization by combined classifiers
Author
Van Breukelen, Martijn ; Duin, Robert P W
Author_Institution
Dept. of Appl. Phys., Delft Univ. of Technol., Netherlands
Volume
1
fYear
1998
fDate
16-20 Aug 1998
Firstpage
215
Abstract
If a set of linear classifiers in the same feature spaces is combined by a linear output classifier and if each of these classifiers has a sigmoid output-function then this set of classifiers has the same architecture as a feedforward neural network. A combined set of classifiers, however is trained in an entirely different way. In this paper it is shown that it can be advantageous to use such a set as an initialization for a neural network
Keywords
neural nets; pattern classification; combined classifiers; feature spaces; feedforward neural network; linear output classifier; neural network initialization; sigmoid output-function; Backpropagation; Feedforward neural networks; Feedforward systems; Logistics; Neural networks; Neurons; Pattern recognition; Physics; Space technology;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location
Brisbane, Qld.
ISSN
1051-4651
Print_ISBN
0-8186-8512-3
Type
conf
DOI
10.1109/ICPR.1998.711119
Filename
711119
Link To Document