{"title":"高速公路施工阶段风险的BP人工神经网络模型","authors":"Chenyun, Yi Zichun","doi":"10.1016/j.sepro.2012.01.004","DOIUrl":null,"url":null,"abstract":"<div><p>According to the feature of expressway construction phase risk, an evaluation index system of expressway engineering construction phase risk was proposed. The BP artificial neural network model can be effectively used in engineering risk evaluation was built. The BP artificial neural network evaluation of the basic principles and process of engineering risk evaluation model, including the establishment of neural networks, learning and training, test results and case analysis, was explained.</p></div>","PeriodicalId":101207,"journal":{"name":"Systems Engineering Procedia","volume":"4 ","pages":"Pages 409-415"},"PeriodicalIF":0.0000,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sepro.2012.01.004","citationCount":"17","resultStr":"{\"title\":\"The BP Artificial Neural Network Model on Expressway Construction Phase Risk\",\"authors\":\"Chenyun, Yi Zichun\",\"doi\":\"10.1016/j.sepro.2012.01.004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>According to the feature of expressway construction phase risk, an evaluation index system of expressway engineering construction phase risk was proposed. The BP artificial neural network model can be effectively used in engineering risk evaluation was built. The BP artificial neural network evaluation of the basic principles and process of engineering risk evaluation model, including the establishment of neural networks, learning and training, test results and case analysis, was explained.</p></div>\",\"PeriodicalId\":101207,\"journal\":{\"name\":\"Systems Engineering Procedia\",\"volume\":\"4 \",\"pages\":\"Pages 409-415\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.sepro.2012.01.004\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Systems Engineering Procedia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2211381912000264\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Systems Engineering Procedia","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2211381912000264","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The BP Artificial Neural Network Model on Expressway Construction Phase Risk
According to the feature of expressway construction phase risk, an evaluation index system of expressway engineering construction phase risk was proposed. The BP artificial neural network model can be effectively used in engineering risk evaluation was built. The BP artificial neural network evaluation of the basic principles and process of engineering risk evaluation model, including the establishment of neural networks, learning and training, test results and case analysis, was explained.