DocumentCode
2622873
Title
Behaviors of transform domain backpropagation (BP) algorithm
Author
Yang, Xiahua ; Xue, Ping
Author_Institution
Dept. of Electron. Eng., Jiao Tong Univ., Shanghai, China
fYear
1991
fDate
18-21 Nov 1991
Firstpage
349
Abstract
Several discrete orthogonal transforms have been used to study the behaviors of transform-domain backpropagation (BP) algorithms. Two examples of computer simulation show that, on selecting the appropriate parameters and the suitable structures of a neural network, the performance of the transform-domain BP algorithm is somewhat better than that of the original time-domain BP algorithm, regardless of which discrete orthogonal transform is applied. Among the transforms that have been used, the behaviors of the discrete cosine transform (DCT) and an alternative version of it are believed to be the best
Keywords
neural nets; transforms; discrete cosine transform; neural network; transform domain backpropagation; Acceleration; Artificial neural networks; Backpropagation algorithms; Computational complexity; Convergence; Discrete cosine transforms; Discrete transforms; Karhunen-Loeve transforms; Neural networks; Neurons;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1991. 1991 IEEE International Joint Conference on
Print_ISBN
0-7803-0227-3
Type
conf
DOI
10.1109/IJCNN.1991.170426
Filename
170426
Link To Document