DocumentCode
2698887
Title
Function approximation with an orthogonal basis net
Author
Qian, S. ; Lee, Y.C. ; Jones, R.D. ; Barnes, C.W. ; Lee, K.
fYear
1990
fDate
17-21 June 1990
Firstpage
605
Abstract
An orthogonal basis net (OrthoNet) is studied for function approximation. The network transfers input space to a new space in which the orthogonal basis function is easy to construct. This net has the advantages of fast and accurate learning and the ability to deal with high-dimensional systems, and it has only one minimum, so that local minima are not attractors for the learning algorithm. The speed and accuracy advantages of the OrthoNet are illustrated for some 1-D and 2-D problems
Keywords
function approximation; learning systems; neural nets; OrthoNet; accurate learning; function approximation; high-dimensional systems; learning speed; orthogonal basis function; orthogonal basis net; orthogonal function expansion;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1990., 1990 IJCNN International Joint Conference on
Conference_Location
San Diego, CA, USA
Type
conf
DOI
10.1109/IJCNN.1990.137906
Filename
5726864
Link To Document