CLASSIFICATION OF LEAF DISEASES USING MODIFIED GENETIC ALGORITHM AND NORMALIZED SUM SQUARE DEVIATION
نویسندگان
چکیده
In real world scenario, large number of features represents a data, but all these are not useful.In this paper,hybrid algorithm comprising modified genetic (GA) for segmentation andnormalised sum square deviation (NSSD) feature selection is proposed. The proposed tested one standard dataset, which gives an average accuracy 94.3% neural network classifier. Keywords: Classification, segmentation, selection,
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ژورنال
عنوان ژورنال: Dyna
سال: 2022
ISSN: ['2254-2833']
DOI: https://doi.org/10.6036/10111