{"title":"人工神经网络组件软件质量评价与预测方法研究","authors":"O. Pomorova, T. Hovorushchenko","doi":"10.1109/IDAACS.2011.6072916","DOIUrl":null,"url":null,"abstract":"This paper represents the artificial neural network's method of design results evaluation and software quality characteristics prediction (NMEP) and the analysis of results of realized artificial neural network (ANN) training and functioning.","PeriodicalId":106306,"journal":{"name":"Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Research of artificial neural network's component of software quality evaluation and prediction method\",\"authors\":\"O. Pomorova, T. Hovorushchenko\",\"doi\":\"10.1109/IDAACS.2011.6072916\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper represents the artificial neural network's method of design results evaluation and software quality characteristics prediction (NMEP) and the analysis of results of realized artificial neural network (ANN) training and functioning.\",\"PeriodicalId\":106306,\"journal\":{\"name\":\"Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IDAACS.2011.6072916\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IDAACS.2011.6072916","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research of artificial neural network's component of software quality evaluation and prediction method
This paper represents the artificial neural network's method of design results evaluation and software quality characteristics prediction (NMEP) and the analysis of results of realized artificial neural network (ANN) training and functioning.