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Identification of the initial rule-base of a multi-stroke fuzzy-based character recognition method with meta-heuristic techniques

Data publikacji: 25.09.2014

Czasopismo Techniczne, 2013, Automatyka Zeszyt 4-AC (12) 2013, s. 103 - 115

https://doi.org/10.4467/2353737XCT.14.051.3959

Autorzy

,
Alex Tormási
Department of Information Technology, Faculty of Engineering, Széchenyi István University, Györ
Wszystkie publikacje autora →
László T. Kóczy
Department of Automation, Faculty of Engineering Sciences, Széchenyi István University Györ
Wszystkie publikacje autora →

Tytuły

Identification of the initial rule-base of a multi-stroke fuzzy-based character recognition method with meta-heuristic techniques

Abstrakt

This paper summarizes the basic concept of the designed a fuzzy-based character recognition algorithm family and the results of the optimization of its rule-base with two various meta-heuristic methods, the Imperialist Competitive Algorithm and the bacterial evolutionary algorithm. The results are presented and compared with two other methods from literature after a short overview of the recognition algorithm.

Bibliografia

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Tormási A., Botzheim J., Single-stroke character recognition with fuzzy method, New Concepts and Applications in Soft Computing SCI, Vol. 417, V.E. Balas et al. (eds.), 2012, 27-46.

Tormási A., Kóczy T.L., Improving the Accuracy of a Fuzzy-Based Single-Stroke Character Recognizer by Antecedent Weighting, Proc. 2nd World Conference on Soft Computing, Baku 2012, 172-178.

Tormási A., Kóczy T.L., Fuzzy-Based Multi-Stroke Character Recognizer, Preprints of the Federated Conference on Computer Science and Information Systems, Kraków 2013, 675-678.

Tormási A., Kóczy T.L., Comparing the efficiency of a fuzzy single-stroke character recognizer with various parameter values, Proc. IPMU 2012, Part I. CCIS, Vol. 297, S. Greco et al. (eds.), 2012, 260–269.

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Kóczy T.L., Hirota K., Approximate inference in hierarchical structured rule-bases, Proc. IFSA ’93, Seoul 1993, 1262-1265.

Tormási A., Kóczy T.L., Improving the Efficiency of a Fuzzy-Based Single-Stroke Character Recognizer with Hierarchical Rule-Base, Proc. 13th IEEE International Symposium on Computational Intelligence and Informatics, Óbuda 2012, 421-426.

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Informacje

Informacje: Czasopismo Techniczne, 2013, Automatyka Zeszyt 4-AC (12) 2013, s. 103 - 115

Typ artykułu: Oryginalny artykuł naukowy

Tytuły:

Polski:

Identification of the initial rule-base of a multi-stroke fuzzy-based character recognition method with meta-heuristic techniques

Angielski:

Identification of the initial rule-base of a multi-stroke fuzzy-based character recognition method with meta-heuristic techniques

Autorzy

Department of Information Technology, Faculty of Engineering, Széchenyi István University, Györ

Department of Automation, Faculty of Engineering Sciences, Széchenyi István University Györ

Publikacja: 25.09.2014

Status artykułu: Otwarte __T_UNLOCK

Licencja: Żadna

Udział procentowy autorów:

Alex Tormási (Autor) - 50%
László T. Kóczy (Autor) - 50%

Korekty artykułu:

-

Języki publikacji:

Angielski