{"title":"Application of Computer CAD Software Optimization in the Manufacture of Mechanical Reducer Considering Artificial Intelligence","authors":"Xianzhen Ye","doi":"10.1109/ICECAA55415.2022.9936183","DOIUrl":null,"url":null,"abstract":"Application of the computer CAD software optimization in the manufacture of the mechanical reducer considering artificial intelligence is studied in the paper. The core problem of current web-based CAD is how to use web technology to quickly and easily acquire and provide CAD remote resources, including design tools, design data, and design knowledge. To better optimize the model, the novel AI based algorithm is designed for the systematic referring. For the robustness enhancement, the neural network model is applied to the design of the comprehensive system. The manufacture of mechanical reducer considering artificial intelligence is further discussed with the comprehensive testing.","PeriodicalId":273850,"journal":{"name":"2022 International Conference on Edge Computing and Applications (ICECAA)","volume":"696 22","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Edge Computing and Applications (ICECAA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECAA55415.2022.9936183","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Application of the computer CAD software optimization in the manufacture of the mechanical reducer considering artificial intelligence is studied in the paper. The core problem of current web-based CAD is how to use web technology to quickly and easily acquire and provide CAD remote resources, including design tools, design data, and design knowledge. To better optimize the model, the novel AI based algorithm is designed for the systematic referring. For the robustness enhancement, the neural network model is applied to the design of the comprehensive system. The manufacture of mechanical reducer considering artificial intelligence is further discussed with the comprehensive testing.