{"title":"卡车车辆操作系统的神经网络建模","authors":"P. Owczarek, Katarzyna Jóźwiak","doi":"10.5604/01.3001.0013.6432","DOIUrl":null,"url":null,"abstract":"The purpose of the work is to develop a model of a truck maintenance system using artificial intelligence methods. Based on a thorough analysis of the literature, criteria and characteristics have been defined that affect the maintenance system of vehicles. Trucks with a permissible total weight of 3.5 tons were tested, which provide transport services in Poland and constitute a fleet of transport companies from the SME sector. MLP (Multi-Layered Perceptron) neural networks were modeled by using computer software.\n\n","PeriodicalId":150174,"journal":{"name":"WUT Journal of Transportation Engineering","volume":"89 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Neural modeling of the truck vehicle operation system\",\"authors\":\"P. Owczarek, Katarzyna Jóźwiak\",\"doi\":\"10.5604/01.3001.0013.6432\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The purpose of the work is to develop a model of a truck maintenance system using artificial intelligence methods. Based on a thorough analysis of the literature, criteria and characteristics have been defined that affect the maintenance system of vehicles. Trucks with a permissible total weight of 3.5 tons were tested, which provide transport services in Poland and constitute a fleet of transport companies from the SME sector. MLP (Multi-Layered Perceptron) neural networks were modeled by using computer software.\\n\\n\",\"PeriodicalId\":150174,\"journal\":{\"name\":\"WUT Journal of Transportation Engineering\",\"volume\":\"89 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"WUT Journal of Transportation Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5604/01.3001.0013.6432\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"WUT Journal of Transportation Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5604/01.3001.0013.6432","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Neural modeling of the truck vehicle operation system
The purpose of the work is to develop a model of a truck maintenance system using artificial intelligence methods. Based on a thorough analysis of the literature, criteria and characteristics have been defined that affect the maintenance system of vehicles. Trucks with a permissible total weight of 3.5 tons were tested, which provide transport services in Poland and constitute a fleet of transport companies from the SME sector. MLP (Multi-Layered Perceptron) neural networks were modeled by using computer software.
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