A comparative analysis of meta-heuristic optimization algorithms for feature selection and feature weighting in neural networks
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DOI: 10.1007/s12065-021-00634-6
Abstract: Feature selection and feature weighting are frequently used in machine learning for processing high dimensional data. It reduces the number of features in the dataset and makes the classification process easier. Meta-heuristic algorithms are widely… read more here.
Keywords: optimization; feature weighting; selection feature; feature selection ... See more keywords