DocumentCode
1817968
Title
Approximation of a function and its derivatives in feedforward neural networks
Author
Basson, E. ; Engelbrecht, AP
Author_Institution
Pretoria Univ., South Africa
Volume
1
fYear
1999
fDate
1999
Firstpage
419
Abstract
A new learning algorithm is presented that learns a function and its first-order derivatives. Derivatives are learned together with the function using gradient descent. Preliminary results show that the algorithm accurately approximates the derivatives
Keywords
feedforward neural nets; function approximation; gradient methods; learning (artificial intelligence); derivative approximation; feedforward neural networks; first-order derivative learning; function approximation; function learning; gradient descent; Africa; Convergence; Feedforward neural networks; Feeds; Information analysis; Intelligent networks; Multi-layer neural network; Neural networks; Performance analysis; Training data;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location
Washington, DC
ISSN
1098-7576
Print_ISBN
0-7803-5529-6
Type
conf
DOI
10.1109/IJCNN.1999.831531
Filename
831531
Link To Document