{"title":"基于深度神经网络的图像识别改进","authors":"Zhoulin Chang","doi":"10.23883/ijrter.2019.5054.peur4","DOIUrl":null,"url":null,"abstract":"Based on the existing research at home and abroad, this paper studies the improvement of image recognition by depth neural network. By using MATLAB and other software to process the data, we get more realistic results, which will play an important role in the future research of image recognition. Keywords— Image Recognition, Intelligent Detection, Depth Neural Network.","PeriodicalId":143099,"journal":{"name":"INTERNATIONAL JOURNAL OF RECENT TRENDS IN ENGINEERING & RESEARCH","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Improvement of Image Recognition by Depth Neural Network\",\"authors\":\"Zhoulin Chang\",\"doi\":\"10.23883/ijrter.2019.5054.peur4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the existing research at home and abroad, this paper studies the improvement of image recognition by depth neural network. By using MATLAB and other software to process the data, we get more realistic results, which will play an important role in the future research of image recognition. Keywords— Image Recognition, Intelligent Detection, Depth Neural Network.\",\"PeriodicalId\":143099,\"journal\":{\"name\":\"INTERNATIONAL JOURNAL OF RECENT TRENDS IN ENGINEERING & RESEARCH\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"INTERNATIONAL JOURNAL OF RECENT TRENDS IN ENGINEERING & RESEARCH\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23883/ijrter.2019.5054.peur4\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"INTERNATIONAL JOURNAL OF RECENT TRENDS IN ENGINEERING & RESEARCH","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23883/ijrter.2019.5054.peur4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improvement of Image Recognition by Depth Neural Network
Based on the existing research at home and abroad, this paper studies the improvement of image recognition by depth neural network. By using MATLAB and other software to process the data, we get more realistic results, which will play an important role in the future research of image recognition. Keywords— Image Recognition, Intelligent Detection, Depth Neural Network.