A Sensitivity-Based Improving Learning Algorithm for Madaline Rule II
Joint Authors
Zhong, Shuiming
Xue, Yu
Jiang, Yunhao
Jin, Yuanfeng
Yang, Jing
Yang, Ping
Tian, Yuan
al-Rodhaan, Mznah
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-27
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
This paper proposes a new adaptive learning algorithm for Madalines based on a sensitivity measure that is established to investigate the effect of a Madaline weight adaptation on its output.
The algorithm, following the basic idea of minimal disturbance as the MRII did, introduces an adaptation selection rule by means of the sensitivity measure to more accurately locate the weights in real need of adaptation.
Experimental results on some benchmark data demonstrate that the proposed algorithm has much better learning performance than the MRII and the BP algorithms.
American Psychological Association (APA)
Zhong, Shuiming& Xue, Yu& Jiang, Yunhao& Jin, Yuanfeng& Yang, Jing& Yang, Ping…[et al.]. 2014. A Sensitivity-Based Improving Learning Algorithm for Madaline Rule II. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1044096
Modern Language Association (MLA)
Zhong, Shuiming…[et al.]. A Sensitivity-Based Improving Learning Algorithm for Madaline Rule II. Mathematical Problems in Engineering No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1044096
American Medical Association (AMA)
Zhong, Shuiming& Xue, Yu& Jiang, Yunhao& Jin, Yuanfeng& Yang, Jing& Yang, Ping…[et al.]. A Sensitivity-Based Improving Learning Algorithm for Madaline Rule II. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1044096
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1044096