{"title":"多层细胞神经网络的一种新的学习方法","authors":"H. Mizutani","doi":"10.1109/CNNA.1994.381680","DOIUrl":null,"url":null,"abstract":"Multilayered neural networks may provide an effective way to make general associative neural networks but it is difficult to fabricate such a network. So multilayered CNNs are important. A new mapping method and a modified backpropagation method for the multilayered CNN is presented.<<ETX>>","PeriodicalId":248898,"journal":{"name":"Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"A new learning method for multilayered cellular neural networks\",\"authors\":\"H. Mizutani\",\"doi\":\"10.1109/CNNA.1994.381680\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Multilayered neural networks may provide an effective way to make general associative neural networks but it is difficult to fabricate such a network. So multilayered CNNs are important. A new mapping method and a modified backpropagation method for the multilayered CNN is presented.<<ETX>>\",\"PeriodicalId\":248898,\"journal\":{\"name\":\"Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CNNA.1994.381680\",\"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 of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CNNA.1994.381680","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new learning method for multilayered cellular neural networks
Multilayered neural networks may provide an effective way to make general associative neural networks but it is difficult to fabricate such a network. So multilayered CNNs are important. A new mapping method and a modified backpropagation method for the multilayered CNN is presented.<>