New Hybrid Hepatitis Diagnosis System Based on Genetic Algorithm and Adaptive Network Fuzzy Inference System
محل انتشار: بیست و یکمین کنفرانس مهندسی برق ایران
سال انتشار: 1392
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 1,007
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شناسه ملی سند علمی:
ICEE21_792
تاریخ نمایه سازی: 27 مرداد 1392
چکیده مقاله:
In this paper, a hybrid method for diagnosing hepatitis diseases is introduced. The proposed method consists of two stages: the feature selection and theclassification. The feature selection has been performed by Genetic algorithm (GA) as a fast and common intelligent method for feature selection to reduce the number ofemployed features. For the classification, a major intelligent classification method, Adaptive Network FuzzyInference System (ANFIS), is employed. In this way, ahybrid method of GA-ANFIS is developed and evaluated via a set of experimental data. The results arerepresentative of the out- performance the proposed methods with respect to other methods in the literature considering the classification accuracy as the comparison tool.
کلیدواژه ها:
Adaptive Network Fuzzy Inference System (ANFIS) ، Classification ، Feature selection ، Genetic algorithm (GA)
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