Title :
Terminal attractor based back propagation learning for feedforward neural networks
Author :
Jiang, Mian ; Yu, Xiizghuo
Author_Institution :
Fac. of Inf. & Commun., Central Queensland Univ., Rockhampton, Qld.,, Australia
Abstract :
In this paper, the terminal attractor based back propagation learning algorithms for feedforward neural networks are examined. Through a rigorous mathematical analysis, a condition to guarantee the convergence of the algorithms is given. A simulation study is presented to demonstrate the effectiveness of the analysis
Keywords :
backpropagation; convergence; feedforward neural nets; mathematical analysis; backpropagation learning; feedforward neural networks; guaranteed convergence; mathematical analysis; simulation study; terminal attractor based BP learning; Analytical models; Australia; Convergence; Feedforward neural networks; Function approximation; Informatics; Mathematical analysis; Neural networks; Pattern recognition; Predictive models;
Conference_Titel :
Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6685-9
DOI :
10.1109/ISCAS.2001.921431
