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Therefore, the EM algorithm is used to solve the problem of parameter estimation with hidden variables in this paper. Finally, two simulation experiments are performed. By comparing the nonlinear fitting ability of the SGRU model with the SARX model and the prediction performance of the SGRU model under different noise distributions, the effectiveness of the proposed approach is verified.<\/jats:p>","DOI":"10.1007\/s40747-024-01540-x","type":"journal-article","created":{"date-parts":[[2024,7,18]],"date-time":"2024-07-18T06:01:46Z","timestamp":1721282506000},"page":"7475-7485","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Identification of switched gated recurrent unit neural networks with a generalized Gaussian distribution"],"prefix":"10.1007","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-1502-1126","authenticated-orcid":false,"given":"Wentao","family":"Bai","sequence":"first","affiliation":[]},{"given":"Fan","family":"Guo","sequence":"additional","affiliation":[]},{"given":"Suhang","family":"Gu","sequence":"additional","affiliation":[]},{"given":"Chao","family":"Yan","sequence":"additional","affiliation":[]},{"given":"Chunli","family":"Jiang","sequence":"additional","affiliation":[]},{"given":"Haoyu","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,7,18]]},"reference":[{"issue":"8","key":"1540_CR1","doi-asserted-by":"publisher","first-page":"4546","DOI":"10.1016\/j.jfranklin.2021.03.015","volume":"358","author":"W Bai","year":"2021","unstructured":"Bai W, Guo F, Chen L, Hao K, Huang B (2021) Identification of Gaussian process with switching noise mode and missing data. 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