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http://hdl.handle.net/10397/1399
| Title: | On interpretation of graffiti digits and characters for eBooks : neural-fuzzy network and genetic algorithm approach | Authors: | Leung, KF Leung, FHF Lam, HK Ling, SH |
Issue Date: | Apr-2004 | Source: | IEEE transactions on industrial electronics, Apr. 2004, v. 51, no. 2, p. 464-471 | Abstract: | This paper presents the rule optimization, tuning of the membership functions, and optimization of the number of fuzzy rules, of a neural-fuzzy network (NFN) using a genetic algorithm (GA). The objectives are achieved by training a proposed NFN with rule switches. The proposed NFN and GA are employed to interpret graffiti number inputs and commands for electronic books (eBooks). | Keywords: | Electronic books (eBooks) Genetic algorithm (GA) Neural-fuzzy networks (NFNs) |
Publisher: | Institute of Electrical and Electronics Engineers | Journal: | IEEE transactions on industrial electronics | ISSN: | 0278-0046 | EISSN: | 1557-9948 | DOI: | 10.1109/TIE.2004.825285 | Rights: | © 2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. |
| Appears in Collections: | Journal/Magazine Article |
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|---|---|---|---|---|
| Interpretation of Graffiti digits_04.pdf | 884.53 kB | Adobe PDF | View/Open |
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