Author(s) |
Keivanian, Farshid
Chiong, Raymond
Hu, Zhongyi
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Publication Date |
2019
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Abstract |
<p>Body fat prediction is a step toward addressing obesity issues. In this paper, we propose a machine learning-based prediction model incorporating a novel fuzzy adaptive global learning binary colonization method for feature selection. Two fuzzy inference systems are used to select input features more purposefully. The proposed model is validated against several well-known feature selection-based models. Experimental results show that it is able to outperform the other models in comparison on most of the performance metrics considered.</p>
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Citation |
Proceedings of the 3rd International Conference on Bio-Engineering for Smart Technologies, p. 1-4
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ISBN |
9781728135786
9781728135779
9781728135793
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Link | |
Publisher |
IEEE
|
Title |
A Fuzzy Adaptive Binary Global Learning Colonization-MLP model for Body Fat Prediction
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Type of document |
Conference Publication
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Entity Type |
Publication
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