非整数阶单元的CNN

1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359) Pub Date : 1998-04-14 DOI:10.1109/CNNA.1998.685404

P. Arena, L. Bertucco, L. Fortuna, G. Nunnari, L. Occhipinti, D. Porto

{"title":"非整数阶单元的CNN","authors":"P. Arena, L. Bertucco, L. Fortuna, G. Nunnari, L. Occhipinti, D. Porto","doi":"10.1109/CNNA.1998.685404","DOIUrl":null,"url":null,"abstract":"A new kind of cellular neural network (CNN) is introduced. Its feature consists of a state representation using q-order derivatives, with q being a non-integer quantity. This approach can be considered as a generalisation of the traditional CNN model, which is obtained from the one presented in the paper as a particular case setting q=1. It is shown that this more general CNN structure exhibits suitable performance in terms of processing speed. Various examples are reported to show the suitability of non-integer order CNNs.","PeriodicalId":171485,"journal":{"name":"1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"CNN with non-integer order cells\",\"authors\":\"P. Arena, L. Bertucco, L. Fortuna, G. Nunnari, L. Occhipinti, D. Porto\",\"doi\":\"10.1109/CNNA.1998.685404\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new kind of cellular neural network (CNN) is introduced. Its feature consists of a state representation using q-order derivatives, with q being a non-integer quantity. This approach can be considered as a generalisation of the traditional CNN model, which is obtained from the one presented in the paper as a particular case setting q=1. It is shown that this more general CNN structure exhibits suitable performance in terms of processing speed. Various examples are reported to show the suitability of non-integer order CNNs.\",\"PeriodicalId\":171485,\"journal\":{\"name\":\"1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-04-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CNNA.1998.685404\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CNNA.1998.685404","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 5

摘要

介绍了一种新的细胞神经网络(CNN)。它的特征由q阶导数的状态表示组成，其中q是一个非整数。这种方法可以被认为是传统CNN模型的推广，传统CNN模型是由本文中作为特定情况设置q=1的模型得到的。结果表明，这种更通用的CNN结构在处理速度方面表现出合适的性能。通过各种实例证明了非整数阶cnn的适用性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

CNN with non-integer order cells

A new kind of cellular neural network (CNN) is introduced. Its feature consists of a state representation using q-order derivatives, with q being a non-integer quantity. This approach can be considered as a generalisation of the traditional CNN model, which is obtained from the one presented in the paper as a particular case setting q=1. It is shown that this more general CNN structure exhibits suitable performance in terms of processing speed. Various examples are reported to show the suitability of non-integer order CNNs.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359)

自引率

0.00%

发文量