Title :
Function approximation with an orthogonal basis net
Author :
Qian, S. ; Lee, Y.C. ; Jones, R.D. ; Barnes, C.W. ; Lee, K.
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;
Conference_Titel :
Neural Networks, 1990., 1990 IJCNN International Joint Conference on
Conference_Location :
San Diego, CA, USA
DOI :
10.1109/IJCNN.1990.137906
