A complement to the back-propagation algorithm: An upper bound for the learning rate

被引：0

作者：

Cerqueira, JJF ^{[1
]}

Palhares, AGB ^{[1
]}

Madrid, MK ^{[1
]}

机构：

[1] Univ Estadual Campinas, BR-13081970 Campinas, SP, Brazil

来源：

IJCNN 2000: PROCEEDINGS OF THE IEEE-INNS-ENNS INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOL IV | 2000年

关键词：

D O I：

10.1109/IJCNN.2000.860823

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents as complement for the back-propagation algorithm, a local convergence analysis gotten from a vectorial approach. The analysis is made through application of Lyapunov's second method, and it supplies an upper bound for the learning rate.

引用

页码：517 / 522

页数：6

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