Title :
Approximation of a function and its derivatives in feedforward neural networks
Author :
Basson, E. ; Engelbrecht, AP
Author_Institution :
Pretoria Univ., South Africa
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;
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5529-6
DOI :
10.1109/IJCNN.1999.831531
