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Full text not available from this repository.Abstract
A genetic algorithm (GA), which uses mutual information (MI) for its fitness function, is presented for feature selection. Further, neural network (NN) is used for classification. Some standard i.e., Iris, Glass and Wine datasets are obtained from UCI repository. A domain dataset i.e., Rice dataset is also prepared from real world rice data. Finally, GA-MI-NN approach is presented and an existing Multi-SVM approach is also used. Multi-SVM is used for validating our results obtained on the taken datasets by GA-MI-NN approach.
Item Type: | Article |
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Subjects: | Open Research Librarians > Mathematical Science |
Depositing User: | Unnamed user with email support@open.researchlibrarians.com |
Date Deposited: | 12 Dec 2023 04:38 |
Last Modified: | 12 Dec 2023 04:38 |
URI: | http://stm.e4journal.com/id/eprint/2313 |