{"title":"一种用于多目标识别的混合神经网络/知识库系统","authors":"P. Gonsalves, A. Caglayan","doi":"10.1109/OCEANS.1992.612660","DOIUrl":null,"url":null,"abstract":"In this paper, we present a hybrid artificial neural network (ANN)/knowledge base (KB) system for multi-target recognition (MTR). Specifically, we develop a hybrid MTR archi- tecture composed of ANNand KB classifiers and decision makers, and conventionalsignal processing and probabilistic target track- ing algorithms. Our approach centerson the use of both the on-line classification and parallel processing of neural networks and the formal knowledge and reasoning of domain experts.","PeriodicalId":158109,"journal":{"name":"OCEANS 92 Proceedings@m_Mastering the Oceans Through Technology","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Hybrid Neural Network/knowledge Base System For Multi-Target Recognition\",\"authors\":\"P. Gonsalves, A. Caglayan\",\"doi\":\"10.1109/OCEANS.1992.612660\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a hybrid artificial neural network (ANN)/knowledge base (KB) system for multi-target recognition (MTR). Specifically, we develop a hybrid MTR archi- tecture composed of ANNand KB classifiers and decision makers, and conventionalsignal processing and probabilistic target track- ing algorithms. Our approach centerson the use of both the on-line classification and parallel processing of neural networks and the formal knowledge and reasoning of domain experts.\",\"PeriodicalId\":158109,\"journal\":{\"name\":\"OCEANS 92 Proceedings@m_Mastering the Oceans Through Technology\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-10-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"OCEANS 92 Proceedings@m_Mastering the Oceans Through Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/OCEANS.1992.612660\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"OCEANS 92 Proceedings@m_Mastering the Oceans Through Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OCEANS.1992.612660","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Hybrid Neural Network/knowledge Base System For Multi-Target Recognition
In this paper, we present a hybrid artificial neural network (ANN)/knowledge base (KB) system for multi-target recognition (MTR). Specifically, we develop a hybrid MTR archi- tecture composed of ANNand KB classifiers and decision makers, and conventionalsignal processing and probabilistic target track- ing algorithms. Our approach centerson the use of both the on-line classification and parallel processing of neural networks and the formal knowledge and reasoning of domain experts.
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