Designing a Fuzzy Classifier Using Genetic Algorithm and Application in Chinese Vowel Recognition
| Autor: | Wei-Xin Ling, Da-Jun Tang, Zhuo-Ming Chen, Zhen Xing |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Fuzzy classification
business.industry Computer science Vowel recognition Fuzzy set Pattern recognition Machine learning computer.software_genre Fuzzy classifier ComputingMethodologies_PATTERNRECOGNITION Genetic algorithm Feature (machine learning) Artificial intelligence business Classifier (UML) computer |
| Zdroj: | CIS |
| DOI: | 10.1109/cis.2013.79 |
| Popis: | This paper studies the structure and algorithm of fuzzy pattern recognition, and proposes some improvements with its inherent limitations. In order to improve the accuracy of recognition better, this paper designs the genetic algorithm fuzzy classifier (GA-FPC) which is an optimization method of fuzzy pattern recognition using genetic algorithm. We have done some experiments on UCI datasets using this classifier (GA-FPC). It can obtain high classification rate. The experiments show that the method is feasible. Finally, using the GA-FPC for Chinese vowel recognition, the accuracy of recognition is good through experiments. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|