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Content Provider | IEEE Xplore Digital Library |
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Author | Yu-Nong Zhang Zhen Li Dong-Sheng Guo Ke Chen Pei Chen |
Copyright Year | 2013 |
Description | Author affiliation: Sch. of Inf. Sci. & Technol., Sun Yat-sen Univ. (SYSU), Guangzhou, China (Yu-Nong Zhang; Zhen Li; Dong-Sheng Guo; Ke Chen; Pei Chen) |
Abstract | The performance analyses of Z-type models using PSAF (i.e, power-sigmoid activation functions) for solving the Zhang problems are investigated in this paper. Excellent robustness is demonstrated when using PSAF for very large perturbation errors. Compared with LAF (i.e, linear activation functions), Z-type models using PSAF have better performance on solving not only scalar-valued problems but also matrix-valued (and vector-valued) problems. The two applications finally substantiate the theoretical analysis, and especially show an excellent robustness. |
Starting Page | 759 |
Ending Page | 764 |
File Size | 615198 |
Page Count | 6 |
File Format | |
ISBN | 9781479902606 |
DOI | 10.1109/ICMLC.2013.6890387 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2013-07-14 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Electronic mail Abstracts Vectors Very large perturbation errors Superior robustness PSAF (power-sigmoid activation functions) Z-type models Time-varying problems solving (Zhang problem solving) |
Content Type | Text |
Resource Type | Article |
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