DocumentCode
2286497
Title
On finite recurrent neural network
Author
Tong, Fan ; Xu Bing Zheng ; Zhang Bailing ; Shuai Oulian
Author_Institution
Inst. of Radio Eng. & Autom., South China Univ. of Technol., Guangzhou, China
fYear
1994
fDate
13-16 Apr 1994
Firstpage
791
Abstract
A kind of recurrent network, called the finite recurrence back propagation network (FRBP) due to the finite recurrence in the hidden layer, is presented. This kind of network has some of the abilities of existing recurrent networks, less memory storage requirement, and a faster training time. The learning algorithm is discussed, giving its computational and simulation results
Keywords
backpropagation; recurrent neural nets; finite recurrence back propagation network; finite recurrent neural network; hidden layer; learning algorithm; memory storage; simulation results; training time; Acceleration; Computational modeling; Computer architecture; Neural networks; Recurrent neural networks; Storage automation;
fLanguage
English
Publisher
ieee
Conference_Titel
Speech, Image Processing and Neural Networks, 1994. Proceedings, ISSIPNN '94., 1994 International Symposium on
Print_ISBN
0-7803-1865-X
Type
conf
DOI
10.1109/SIPNN.1994.344792
Filename
344792
Link To Document