MATLAB Simulink Modeling of Zhang Neural Network Solving for Time-Varying Pseudoinverse in Comparison with Gradient Neural Network
| Autor: | Yunong Zhang, Binghuang Cai, Ning Tan, Zeng-Hai Chen |
|---|---|
| Rok vydání: | 2008 |
| Předmět: |
Artificial neural network
Computer science Matlab simulink business.industry Computer Science::Neural and Evolutionary Computation Recurrent neural network Computer Science::Mathematical Software Neural system Artificial intelligence MATLAB business computer Moore–Penrose pseudoinverse Zhang neural network computer.programming_language Coding (social sciences) |
| Zdroj: | 2008 Second International Symposium on Intelligent Information Technology Application. |
| DOI: | 10.1109/iita.2008.60 |
| Popis: | A special kind of recurrent neural networks (RNN), i.e., Zhang neural networks (ZNN), has recently been proposed for online time-varying problems solving. In this paper, we generalize and investigate the Matlab Simulink modeling and verification of a ZNN model for online time-varying matrix pseudoinverse solving. Based on click-and-drag mouse operations, Simulink could be easily and conveniently used to model and simulate complicated neural systems in comparison with Matlab coding. For comparative purposes, the conventional gradient-based neural network (or termed gradient neural network, GNN) is also developed for the time-varying pseudoinverse solving. Matlab Simulink modeling results substantiate the feasibility and efficacy of ZNN on time-varying pseudoinverse solving. |
| Databáze: | OpenAIRE |
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