{"title":"三坐标测量机上多任务测量的人工智能检测路径管理:神经网络技术的应用","authors":"C.G. Lu, D. Morton, P. Myler, M. H. Wu","doi":"10.1109/IEMC.1995.524608","DOIUrl":null,"url":null,"abstract":"The use of a co-ordinate measuring machine (CMM) is widely spread throughout the manufacturing industry. In spite of this, inspection planning for a CMM, especially by using artificial intelligent (AI) techniques, is not well developed. This paper presents an approach of using an artificial neural network technique to carry out the inspection path management for a CMM, especially for multi-component inspection. This path planning system applies genetic algorithm theory to establish an optimiser; and an artificial neural network is developed to carry out the inspection task pattern recognition and the self-learning function.","PeriodicalId":231067,"journal":{"name":"Proceedings for Operating Research and the Management Sciences","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"An artificial intelligent (AI) inspection path management for multiple tasks measurement on co-ordinate measuring machine (CMM): an application of neural network technology\",\"authors\":\"C.G. Lu, D. Morton, P. Myler, M. H. Wu\",\"doi\":\"10.1109/IEMC.1995.524608\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The use of a co-ordinate measuring machine (CMM) is widely spread throughout the manufacturing industry. In spite of this, inspection planning for a CMM, especially by using artificial intelligent (AI) techniques, is not well developed. This paper presents an approach of using an artificial neural network technique to carry out the inspection path management for a CMM, especially for multi-component inspection. This path planning system applies genetic algorithm theory to establish an optimiser; and an artificial neural network is developed to carry out the inspection task pattern recognition and the self-learning function.\",\"PeriodicalId\":231067,\"journal\":{\"name\":\"Proceedings for Operating Research and the Management Sciences\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings for Operating Research and the Management Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEMC.1995.524608\",\"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 for Operating Research and the Management Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMC.1995.524608","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An artificial intelligent (AI) inspection path management for multiple tasks measurement on co-ordinate measuring machine (CMM): an application of neural network technology
The use of a co-ordinate measuring machine (CMM) is widely spread throughout the manufacturing industry. In spite of this, inspection planning for a CMM, especially by using artificial intelligent (AI) techniques, is not well developed. This paper presents an approach of using an artificial neural network technique to carry out the inspection path management for a CMM, especially for multi-component inspection. This path planning system applies genetic algorithm theory to establish an optimiser; and an artificial neural network is developed to carry out the inspection task pattern recognition and the self-learning function.