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 :
بازگشت