Intelligent System Reliability Modeling Methods

Author:

Li Jiao,Peng Wensheng,Zeng Zhaoyang,Li Chenxi,Wang Haochen

Publisher

Springer Nature Switzerland

Reference23 articles.

1. Tiejun, C., Shasha, L.: Research on fault analysis principle of artificial intelligence system. J. Intell. Syst. 16(4), 785–791 (2021)

2. Min, Z.: Artificial intelligence for reliability identification of remote sensing targets: overall framework design, current situation analysis and prospect. According J. Surv. Mapp. 50(8), 1049–1058 (2021). 10.11947/j

3. Shi, W., Zhang, M.: Artificial intelligence for reliable object recognition from remotely sensed data: overall framework design, review and prospect. Acta Godaeticaet Crtoe a graphica Snicai 50(8), 1049–1058 (2021). https://doi.org/10.11947/j.AGCS.2021.20210095

4. Wang, Y.X., Hou, M., Plataniotis, K.N., et al.: Towards a theoretical framework of autonomous systems underpinned by intelligence and systems sciences. IEEE-CAA J. Automatica Sinica 8(1), 52–63 (2021)

5. Zhu, X., Wang, H., You, H.: Review of research on autonomous driving intelligent system testing. J. Softw. 32(7), 2056–2077 (2020)

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