{"title":"An FDO neural network model and its application to image recognition","authors":"Dingang Sheng, F. Qi","doi":"10.1109/ICCS.1992.255028","DOIUrl":null,"url":null,"abstract":"A full domain optimum neural network is proposed. A method of devising stable points firstly and basins of attraction latterly increases speed and correctness of image recognition. This paper proves the quality and speed of convergence and invariance of mapping. Several computer simulation examples involving trained and recognized targets illustrate the usefulness of the method.<<ETX>>","PeriodicalId":223769,"journal":{"name":"[Proceedings] Singapore ICCS/ISITA `92","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[Proceedings] Singapore ICCS/ISITA `92","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCS.1992.255028","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A full domain optimum neural network is proposed. A method of devising stable points firstly and basins of attraction latterly increases speed and correctness of image recognition. This paper proves the quality and speed of convergence and invariance of mapping. Several computer simulation examples involving trained and recognized targets illustrate the usefulness of the method.<>
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