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 :
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