{"title":"利用BPTT技术调整自联想记忆中的记忆盆大小","authors":"T. Hatanaka, Y. Nishikawa","doi":"10.1109/IJCNN.1991.170674","DOIUrl":null,"url":null,"abstract":"An auto-associative memory is constructed in a recurrent network whose connection matrix is determined by use of backpropagation through time (BPTT). Through several computer simulations, basins of the memory generated by this method are compared with those generated by the conventional methods. In particular, the ability of the BPTT to adjust the basin size is investigated in detail.<<ETX>>","PeriodicalId":211135,"journal":{"name":"[Proceedings] 1991 IEEE International Joint Conference on Neural Networks","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1991-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Adjustment of the basin size in autoassociative memories by use of the BPTT technique\",\"authors\":\"T. Hatanaka, Y. Nishikawa\",\"doi\":\"10.1109/IJCNN.1991.170674\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An auto-associative memory is constructed in a recurrent network whose connection matrix is determined by use of backpropagation through time (BPTT). Through several computer simulations, basins of the memory generated by this method are compared with those generated by the conventional methods. In particular, the ability of the BPTT to adjust the basin size is investigated in detail.<<ETX>>\",\"PeriodicalId\":211135,\"journal\":{\"name\":\"[Proceedings] 1991 IEEE International Joint Conference on Neural Networks\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1991-11-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[Proceedings] 1991 IEEE International Joint Conference on Neural Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IJCNN.1991.170674\",\"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] 1991 IEEE International Joint Conference on Neural Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IJCNN.1991.170674","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adjustment of the basin size in autoassociative memories by use of the BPTT technique
An auto-associative memory is constructed in a recurrent network whose connection matrix is determined by use of backpropagation through time (BPTT). Through several computer simulations, basins of the memory generated by this method are compared with those generated by the conventional methods. In particular, the ability of the BPTT to adjust the basin size is investigated in detail.<>