Generation and improvement of fuzzy classifiers with incremental learning using fuzzy RuleNet
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TL;DR
The influence of the incremental learning strategy on the performance of the fury-neuro model Fuzzy RuleNet is analyzed and the applicability of this technique is examined at a pattern recognition problem, namely the locahzation of address labels on postal parcels.
Abstract
Article Free Access Share on Generation and improvement of fuzzy classifiers with incremental learning using fuzzy RuleNet Author: Nadine Tschichold-Gürman Institute of Robotics, ETH Zurich Institute of Robotics, ETH ZurichView Profile Authors Info & Claims SAC '95: Proceedings of the 1995 ACM symposium on Applied computingFebruary 1995 Pages 466–470https://doi.org/10.1145/315891.316069Published:26 February 1995Publication History 21citation363DownloadsMetricsTotal Citations21Total Downloads363Last 12 Months11Last 6 weeks4 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF