{"title":"“新认知”神经网络在集成芯片图像处理中的应用","authors":"R. Sadykhov, M. Vatkin","doi":"10.1109/IDAACS.2001.942014","DOIUrl":null,"url":null,"abstract":"The architecture of the \"neocognitron\" neural network in the task of searching for structural units in a gray scale image of an integrated circuit is considered. The updated rule for activation of the network neurons invariant to distortions of brightness is represented. The comparative outcomes of recognition have shown the advantages of a neural network approach.","PeriodicalId":419022,"journal":{"name":"Proceedings of the International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications. IDAACS'2001 (Cat. No.01EX510)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An application of \\\"neocognitron\\\" neural network for integral chip image processing\",\"authors\":\"R. Sadykhov, M. Vatkin\",\"doi\":\"10.1109/IDAACS.2001.942014\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The architecture of the \\\"neocognitron\\\" neural network in the task of searching for structural units in a gray scale image of an integrated circuit is considered. The updated rule for activation of the network neurons invariant to distortions of brightness is represented. The comparative outcomes of recognition have shown the advantages of a neural network approach.\",\"PeriodicalId\":419022,\"journal\":{\"name\":\"Proceedings of the International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications. IDAACS'2001 (Cat. No.01EX510)\",\"volume\":\"85 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications. IDAACS'2001 (Cat. No.01EX510)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IDAACS.2001.942014\",\"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 International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications. IDAACS'2001 (Cat. No.01EX510)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IDAACS.2001.942014","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An application of "neocognitron" neural network for integral chip image processing
The architecture of the "neocognitron" neural network in the task of searching for structural units in a gray scale image of an integrated circuit is considered. The updated rule for activation of the network neurons invariant to distortions of brightness is represented. The comparative outcomes of recognition have shown the advantages of a neural network approach.
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