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The simulation results show that the neural network method proposed in this paper is better than the traditional machine learning methods and SSD network models. The average accuracy of the proposed method for sonar image target recognition is 93%, and the detection time of a single image is only 0.3 seconds.<\/jats:p>","DOI":"10.1155\/2021\/5589154","type":"journal-article","created":{"date-parts":[[2021,3,22]],"date-time":"2021-03-22T23:35:08Z","timestamp":1616456108000},"page":"1-8","source":"Crossref","is-referenced-by-count":12,"title":["Sonar Image Target Detection and Recognition Based on Convolution Neural Network"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9937-5130","authenticated-orcid":true,"given":"Wu","family":"Yanchen","sequence":"first","affiliation":[{"name":"School of Marine Science and Technology, Northwestern Polytechnical University, Xi\u2019an 710072, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","article-title":"Target detection in SAR image based on convolutional neural network","volume":"8","author":"G. 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