{"title":"一种提高CNN效率的邻域设计新方法","authors":"Z. Zhang, E.M. Namba, S. Takatori, H. Kawabata","doi":"10.1109/CNNA.2002.1035097","DOIUrl":null,"url":null,"abstract":"Setting the optimal values of the neighborhood is an important factor for improving a CNN's capability. In this paper, we propose a new design method for the neighborhood, which reduces the computation time while maintaining its capability. In order to examine its effectiveness, we use synthesized model patterns and confirm whether the efficiency is improved. In addition, we apply the CNN designed to diagnosing abnormal sounds and obtained very encouraging results.","PeriodicalId":387716,"journal":{"name":"Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2002-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A new design method for the neighborhood on improving the CNN's efficiency\",\"authors\":\"Z. Zhang, E.M. Namba, S. Takatori, H. Kawabata\",\"doi\":\"10.1109/CNNA.2002.1035097\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Setting the optimal values of the neighborhood is an important factor for improving a CNN's capability. In this paper, we propose a new design method for the neighborhood, which reduces the computation time while maintaining its capability. In order to examine its effectiveness, we use synthesized model patterns and confirm whether the efficiency is improved. In addition, we apply the CNN designed to diagnosing abnormal sounds and obtained very encouraging results.\",\"PeriodicalId\":387716,\"journal\":{\"name\":\"Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-07-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CNNA.2002.1035097\",\"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 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CNNA.2002.1035097","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new design method for the neighborhood on improving the CNN's efficiency
Setting the optimal values of the neighborhood is an important factor for improving a CNN's capability. In this paper, we propose a new design method for the neighborhood, which reduces the computation time while maintaining its capability. In order to examine its effectiveness, we use synthesized model patterns and confirm whether the efficiency is improved. In addition, we apply the CNN designed to diagnosing abnormal sounds and obtained very encouraging results.