Topology identification of coupled neural networks with multiple weights
- Publisher:
- ELSEVIER
- Publication Type:
- Journal Article
- Citation:
- Neurocomputing, 2021, 457, pp. 254-264
- Issue Date:
- 2021-10-07
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Filename | Description | Size | |||
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1-s2.0-S0925231221009231-main.pdf | Published version | 1.52 MB |
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This paper concentrates on the research of topology identification problem for coupled neural networks with multiple state couplings (CNNMSCs) or multiple delay state couplings (CNNMDSCs), in which single neural network may or may not include time delay. By constructing the response networks, designing suitable controllers and parameter adjustment schemes, utilizing several inequality techniques and significant lemmas, the topology of the original networks are identified based on synchronization between the original networks and the response networks. Finally, the validity of the proposed controllers and parameter adjustment strategies is demonstrated by two numerical examples.
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