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The improved CNN model has a good network image recognition performance, improves the data training speed, and optimizes the network structure parameters. Based on an improved CNN model, using the facial expression recognition (FER2013) data to test the model performance, to achieve more accurate face recognition. Experimental results show that the recognition rate of the improved model and deep learning algorithm on the FER2013 dataset reaches 98.36%, which is 4.63% higher than before the improvement. <\/jats:p>","DOI":"10.1142\/s0218001424540168","type":"journal-article","created":{"date-parts":[[2024,10,4]],"date-time":"2024-10-04T10:11:48Z","timestamp":1728036708000},"source":"Crossref","is-referenced-by-count":1,"title":["Face Image Recognition in Smart City Based on Improved Convolutional Neural Network"],"prefix":"10.1142","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0703-2246","authenticated-orcid":false,"given":"Jing","family":"Tie","sequence":"first","affiliation":[{"name":"International Business School, Yunnan University of Finance and Economics, Kunming, Yunnan 650221, P. R. 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