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Design And Implementation Of Online Graduation Design Selection System For University Graduation Project Based On .Net

Posted on:2020-04-18Degree:MasterType:Thesis
Country:ChinaCandidate:C Z YanFull Text:PDF
GTID:2428330596476870Subject:Engineering
Abstract/Summary:PDF Full Text Request
With the continuous improvement of the level of national informatization and the popularization of computer,the informatization of graduation design is more and more accepted by colleges and universities.Academic research on graduation design management system mainly focuses on the informationization of the whole business process,but how to choose a more appropriate topic for students? For teachers,how to determine whether students meet the academic requirements of graduation design? How to ensure the quality of graduation design every year for college administrators? These problems are not well solved.The main work content of this paper is the design and implementation of the online graduation design selection system for college graduation design based on.Net,which mainly includes two parts.First,from the user needs,design and develop a set of reliable,safe,easy-to-use online graduation design selection information system.Secondly,KNN deep learning algorithm is used to establish the students' ability model and the decision support system for subject relevance analysis over the years.For the information system of online graduation design selection,the number of graduation projects needed to be managed by colleges and universities increases dramatically every year,and the workload is large.In order to facilitate the online graduation design selection work of various roles,the goal of this system is to reduce the workload of students,teachers and college administrators,so as to achieve the goal of quickly completing the graduation design selection work of graduation projects and accurately and efficiently managing the online graduation design selection of graduation projects.This system fully complete analysis of graduation design work process,students will participate in and guide the project work of faculty,staff and management of graduation design through the information system,make the tedious graduation design management work to achieve cross-regional,collaborative work among different roles across time,related to graduation design management staff to complete related work efficient,fast and convenient.For deep learning algorithms,this system can help students better find suitable topics,help teachers determine more suitable candidates,and help college administrators better control and improve the quality of graduation design.The student ability of the model data sources include: undergraduate calendar year examination data,such as competition winning more than 10 kinds of academic achievement,etc.The front end of the system adopts.NET WEB development(including HTML,CSS,Javascript and Vue.js,jQuery.js script library),and the background uses Microsoft SQL Server 2008 R2 database for data storage.The deep learning algorithm is based on ML.NET open source and cross.Platform deep learning framework,the specific implementation platform is Microsoft Visual Studio 2010,auxiliary development tools include database design tools Power Designer 15,Microsoft Office Visio and so on.The design and implementation of this system is an effective supplement to the current academic and application circles,and also a successful application of deep learning in the decision support system,which will promote the online selection of topics for college graduation design to be more informationized,data-oriented and scientific.
Keywords/Search Tags:.NET, Online Topic Selection System, Deep Learning, Decision Support
PDF Full Text Request
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