Name
Title | ||
|---|---|---|
Discrete-time noise-tolerant Zhang neural network for dynamic matrix pseudoinversion. |
Abstract | ||
|---|---|---|
In this work, a discrete-time noise-tolerant Zhang neural network (DTNTZNN) model is proposed, developed, and investigated for dynamic matrix pseudoinversion. Theoretical analyses show that the proposed DTNTZNN model is inherently tolerant to noises and can simultaneously deal with different types of noise. For comparison, the discrete-time conventional Zhang neural network (DTCZNN) model is also presented and analyzed to solve the same dynamic problem. Numerical examples and results demonstrate the efficacy and superiority of the proposed DTNTZNN model for dynamic matrix pseudoinversion in the presence of various types of noise. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/s00500-018-3119-8 | Soft Comput. |
Keywords | Field | DocType |
Discrete time, Noise tolerant, Dynamic matrix pseudoinverse, Theoretical analysis, Numerical examples | Zhang neural network,Mathematical optimization,Computer science,Matrix (mathematics),Algorithm,Discrete time and continuous time,Dynamic problem | Journal |
Volume | Issue | ISSN |
23 | 3 | 1433-7479 |
Citations | PageRank | References |
1 | 0.35 | 26 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qiuhong Xiang | 1 | 6 | 1.77 |
| Bolin Liao | 2 | 281 | 18.70 |
| Lin Xiao | 3 | 94 | 15.07 |
| Long Lin | 4 | 1 | 0.35 |
| Shuai Li | 5 | 15 | 3.23 |