畸变不变选择性注意自适应共振理论神经网络

1999 Third International Conference on Knowledge-Based Intelligent Information Engineering Systems. Proceedings (Cat. No.99TH8410) Pub Date : 1999-08-31 DOI:10.1109/KES.1999.820107

J. Westmacott, P. Lozo, L. Jain

{"title":"畸变不变选择性注意自适应共振理论神经网络","authors":"J. Westmacott, P. Lozo, L. Jain","doi":"10.1109/KES.1999.820107","DOIUrl":null,"url":null,"abstract":"This paper presents an extension to the SAART (selective-attention adaptive resonance theory) neural network to allow distortion invariance. This extended SAART model is now capable of recognising distorted 2D shapes in cluttered environments. This new capability is demonstrated using simulations.","PeriodicalId":192359,"journal":{"name":"1999 Third International Conference on Knowledge-Based Intelligent Information Engineering Systems. Proceedings (Cat. No.99TH8410)","volume":"253 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Distortion invariant selective attention adaptive resonance theory neural network\",\"authors\":\"J. Westmacott, P. Lozo, L. Jain\",\"doi\":\"10.1109/KES.1999.820107\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an extension to the SAART (selective-attention adaptive resonance theory) neural network to allow distortion invariance. This extended SAART model is now capable of recognising distorted 2D shapes in cluttered environments. This new capability is demonstrated using simulations.\",\"PeriodicalId\":192359,\"journal\":{\"name\":\"1999 Third International Conference on Knowledge-Based Intelligent Information Engineering Systems. Proceedings (Cat. No.99TH8410)\",\"volume\":\"253 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-08-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1999 Third International Conference on Knowledge-Based Intelligent Information Engineering Systems. Proceedings (Cat. No.99TH8410)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/KES.1999.820107\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1999 Third International Conference on Knowledge-Based Intelligent Information Engineering Systems. Proceedings (Cat. No.99TH8410)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/KES.1999.820107","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 6

摘要

本文对选择性注意自适应共振理论(SAART)神经网络进行了扩展，使其具有畸变不变性。这个扩展的SAART模型现在能够在混乱的环境中识别扭曲的2D形状。这种新功能通过仿真进行了演示。

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

Distortion invariant selective attention adaptive resonance theory neural network

This paper presents an extension to the SAART (selective-attention adaptive resonance theory) neural network to allow distortion invariance. This extended SAART model is now capable of recognising distorted 2D shapes in cluttered environments. This new capability is demonstrated using simulations.

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

1999 Third International Conference on Knowledge-Based Intelligent Information Engineering Systems. Proceedings (Cat. No.99TH8410)

自引率

0.00%

发文量