{"title":"混沌模拟联想存储器","authors":"Hisao Imai, Y. Osana, M. Hagiwara","doi":"10.1109/IJCNN.2001.939522","DOIUrl":null,"url":null,"abstract":"We propose a chaotic analog associative memory (CAAM). It can deal with associations of analog patterns including common patterns. The proposed model has the following features: (1) it can deal with associations of analog patterns; (2) it can deal with one-to-many associations; (3) it has robustness for noisy input and neuron damage.","PeriodicalId":346955,"journal":{"name":"IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Chaotic analog associative memory\",\"authors\":\"Hisao Imai, Y. Osana, M. Hagiwara\",\"doi\":\"10.1109/IJCNN.2001.939522\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a chaotic analog associative memory (CAAM). It can deal with associations of analog patterns including common patterns. The proposed model has the following features: (1) it can deal with associations of analog patterns; (2) it can deal with one-to-many associations; (3) it has robustness for noisy input and neuron damage.\",\"PeriodicalId\":346955,\"journal\":{\"name\":\"IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222)\",\"volume\":\"108 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IJCNN.2001.939522\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IJCNN.2001.939522","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We propose a chaotic analog associative memory (CAAM). It can deal with associations of analog patterns including common patterns. The proposed model has the following features: (1) it can deal with associations of analog patterns; (2) it can deal with one-to-many associations; (3) it has robustness for noisy input and neuron damage.