{"title":"模式识别的最新进展及其在主动声纳分类中的潜在应用","authors":"C.H. Chen","doi":"10.1109/ICNN.1991.163336","DOIUrl":null,"url":null,"abstract":"Summary form only given as follows. Although there has been little progress in conventional statistical and syntactic pattern recognition, the reemerging activity in neural networks and in artificial intelligence (AI) knowledge-based systems has had great impact in sonar and other applications. This impact is noted in the context of active sonar signal classification.<<ETX>>","PeriodicalId":296300,"journal":{"name":"[1991 Proceedings] IEEE Conference on Neural Networks for Ocean Engineering","volume":"138 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Recent advances in pattern recognition and their potential application in active sonar classification\",\"authors\":\"C.H. Chen\",\"doi\":\"10.1109/ICNN.1991.163336\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Summary form only given as follows. Although there has been little progress in conventional statistical and syntactic pattern recognition, the reemerging activity in neural networks and in artificial intelligence (AI) knowledge-based systems has had great impact in sonar and other applications. This impact is noted in the context of active sonar signal classification.<<ETX>>\",\"PeriodicalId\":296300,\"journal\":{\"name\":\"[1991 Proceedings] IEEE Conference on Neural Networks for Ocean Engineering\",\"volume\":\"138 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1991-08-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1991 Proceedings] IEEE Conference on Neural Networks for Ocean Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNN.1991.163336\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1991 Proceedings] IEEE Conference on Neural Networks for Ocean Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNN.1991.163336","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Recent advances in pattern recognition and their potential application in active sonar classification
Summary form only given as follows. Although there has been little progress in conventional statistical and syntactic pattern recognition, the reemerging activity in neural networks and in artificial intelligence (AI) knowledge-based systems has had great impact in sonar and other applications. This impact is noted in the context of active sonar signal classification.<>