{"title":"基于pso的RBF神经网络教学质量评价模型","authors":"Chang-jun Zhu, Bin Wang","doi":"10.1109/CASE.2009.69","DOIUrl":null,"url":null,"abstract":"In view of the problems existing in previous system of teaching quality, According to our teaching characteristics a new model of PSO-based teaching quality evaluation is set up by means of PSO theory and neural network. And the application procedure of the model is illuminated in detail. By analyzing a lot of practical examples, the experiment result indicates that this mathematical model has better appraisal effect and can overcome the complexity of traditional evaluation model. Compared with other methods, this method is scientific, simple and operable. And its structure and method will have a bright future.","PeriodicalId":294566,"journal":{"name":"2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"PSO-Based RBF Neural Network Model for Teaching Quality Evaluation\",\"authors\":\"Chang-jun Zhu, Bin Wang\",\"doi\":\"10.1109/CASE.2009.69\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In view of the problems existing in previous system of teaching quality, According to our teaching characteristics a new model of PSO-based teaching quality evaluation is set up by means of PSO theory and neural network. And the application procedure of the model is illuminated in detail. By analyzing a lot of practical examples, the experiment result indicates that this mathematical model has better appraisal effect and can overcome the complexity of traditional evaluation model. Compared with other methods, this method is scientific, simple and operable. And its structure and method will have a bright future.\",\"PeriodicalId\":294566,\"journal\":{\"name\":\"2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009)\",\"volume\":\"68 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CASE.2009.69\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CASE.2009.69","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
PSO-Based RBF Neural Network Model for Teaching Quality Evaluation
In view of the problems existing in previous system of teaching quality, According to our teaching characteristics a new model of PSO-based teaching quality evaluation is set up by means of PSO theory and neural network. And the application procedure of the model is illuminated in detail. By analyzing a lot of practical examples, the experiment result indicates that this mathematical model has better appraisal effect and can overcome the complexity of traditional evaluation model. Compared with other methods, this method is scientific, simple and operable. And its structure and method will have a bright future.