{"title":"平稳和非平稳环境下的在线自适应RBF网络","authors":"B. Todorovic, M. Stankovic, S. Todorovic-Zarkula","doi":"10.1109/MELCON.2000.879968","DOIUrl":null,"url":null,"abstract":"Sequential adaptation of RBF network parameters and structure is achieved using extended Kalman filter (EKF). Criterion for network growing is obtained from Kalman filter's consistency test The optimal brain surgeon and optimal brain damage pruning methods are derived for networks which parameters are estimated by EKF. Criteria for neurons/connections pruning are based on the statistical parameter significance test.","PeriodicalId":151424,"journal":{"name":"2000 10th Mediterranean Electrotechnical Conference. Information Technology and Electrotechnology for the Mediterranean Countries. Proceedings. MeleCon 2000 (Cat. No.00CH37099)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On-line adaptive RBF network in stationary and nonstationary environment\",\"authors\":\"B. Todorovic, M. Stankovic, S. Todorovic-Zarkula\",\"doi\":\"10.1109/MELCON.2000.879968\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Sequential adaptation of RBF network parameters and structure is achieved using extended Kalman filter (EKF). Criterion for network growing is obtained from Kalman filter's consistency test The optimal brain surgeon and optimal brain damage pruning methods are derived for networks which parameters are estimated by EKF. Criteria for neurons/connections pruning are based on the statistical parameter significance test.\",\"PeriodicalId\":151424,\"journal\":{\"name\":\"2000 10th Mediterranean Electrotechnical Conference. Information Technology and Electrotechnology for the Mediterranean Countries. Proceedings. MeleCon 2000 (Cat. No.00CH37099)\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2000 10th Mediterranean Electrotechnical Conference. Information Technology and Electrotechnology for the Mediterranean Countries. Proceedings. MeleCon 2000 (Cat. No.00CH37099)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MELCON.2000.879968\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2000 10th Mediterranean Electrotechnical Conference. Information Technology and Electrotechnology for the Mediterranean Countries. Proceedings. MeleCon 2000 (Cat. No.00CH37099)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MELCON.2000.879968","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On-line adaptive RBF network in stationary and nonstationary environment
Sequential adaptation of RBF network parameters and structure is achieved using extended Kalman filter (EKF). Criterion for network growing is obtained from Kalman filter's consistency test The optimal brain surgeon and optimal brain damage pruning methods are derived for networks which parameters are estimated by EKF. Criteria for neurons/connections pruning are based on the statistical parameter significance test.
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