{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T11:41:25Z","timestamp":1730202085077,"version":"3.28.0"},"reference-count":11,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,7]]},"DOI":"10.1109\/cacre54574.2022.9834202","type":"proceedings-article","created":{"date-parts":[[2022,7,25]],"date-time":"2022-07-25T20:16:02Z","timestamp":1658780162000},"page":"382-386","source":"Crossref","is-referenced-by-count":0,"title":["Research on prediction model of National Railway Freight Volume based on GA-BP network"],"prefix":"10.1109","author":[{"given":"Shiqiang","family":"Gai","sequence":"first","affiliation":[{"name":"Dalian Meritime University,School of Science,Dalian,China"}]},{"given":"Haiyan","family":"Xie","sequence":"additional","affiliation":[{"name":"Dalian Meritime University,School of Science,Dalian,China"}]},{"given":"Chenxing","family":"Jia","sequence":"additional","affiliation":[{"name":"Dalian Meritime University,School of Science,Dalian,China"}]}],"member":"263","reference":[{"key":"ref4","first-page":"3","article-title":"Research of quantity of shipments forecasting model based on artificial neural network[J]","author":"wang","year":"2009","journal-title":"Logistics engineering and management"},{"key":"ref3","first-page":"7","article-title":"Probabilistic Prediction of Strong Earthquakes In China By Historical Analogical Method[J]","author":"chen","year":"1998","journal-title":"FujianSeismology"},{"journal-title":"BP Neural Network Algori thm Improvement and Application Research","year":"2010","author":"huang","key":"ref10"},{"key":"ref6","first-page":"1386","article-title":"Test Case Generation and Reuse Based on Support Vector Machine Regression Model[J]","volume":"49","author":"qiang","year":"2021","journal-title":"Acta Electronica Sinica"},{"key":"ref11","first-page":"3","article-title":"Analysis of crossover operator of genetic algorithm","author":"deng","year":"2009","journal-title":"Agriculture Network Information"},{"key":"ref5","first-page":"58","article-title":"Research on the Rail freight Volumes Forecast by Support Vector Machine and Gray Relational Analysis[J]","volume":"35","author":"zhang","year":"2018","journal-title":"Journal Of Quantitative Economics"},{"key":"ref8","first-page":"24","article-title":"Forecasting Method of Highway Freight Volume Based on GC-rBPNN Model during COVID-19 Epidemic[J]","volume":"39","author":"tian","year":"2021","journal-title":"Journal of Guangxi Normal University Natural Science Edition"},{"key":"ref7","first-page":"6","article-title":"Prediction model of urban freight generation based on BP neural network","volume":"41","author":"wei","year":"2020","journal-title":"Journal of Shanghai Maritime University"},{"key":"ref2","first-page":"112","article-title":"Subjective Probablity Forecasting [J]","author":"she","year":"1987","journal-title":"Journal of Wuhan University of Water Transportation Engineering"},{"key":"ref9","first-page":"4","article-title":"Throughput Forecasting of Zhengzhou Air Harbor Based on RBF Neural Network[J]","volume":"33","author":"wei","year":"2014","journal-title":"Logistics Technology"},{"key":"ref1","first-page":"3","article-title":"Application and Thinking of Delphi Method in Technology Foresight [J]","volume":"26","author":"yuan","year":"2006","journal-title":"Science and Technology Management Research"}],"event":{"name":"2022 7th International Conference on Automation, Control and Robotics Engineering (CACRE)","start":{"date-parts":[[2022,7,14]]},"location":"Xi'an, China","end":{"date-parts":[[2022,7,16]]}},"container-title":["2022 7th International Conference on Automation, Control and Robotics Engineering (CACRE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9834148\/9834101\/09834202.pdf?arnumber=9834202","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,15]],"date-time":"2022-08-15T20:03:16Z","timestamp":1660593796000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9834202\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7]]},"references-count":11,"URL":"https:\/\/doi.org\/10.1109\/cacre54574.2022.9834202","relation":{},"subject":[],"published":{"date-parts":[[2022,7]]}}}