- Title
- A fuzzy adaptive binary global learning colonization-mlp model for body fat prediction
- Creator
- Keivanian, Farshid; Chiong, Raymond; Hu, Zhongyi
- Relation
- 2019 3rd International Conference on Bio-engineering for Smart Technologies (BioSMART). Proceedings of 2019 3rd International Conference on Bio-engineering for Smart Technologies (BioSMART) (Paris, France 24-26 April, 2019)
- Publisher Link
- http://dx.doi.org/10.1109/BIOSMART.2019.8734215
- Publisher
- Institue of Electrical and Electronics Engineers (IEEE)
- Resource Type
- conference paper
- Date
- 2019
- Description
- 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.
- Subject
- body fat prediction; artifical neural networks; feature selection; imperialist competitive algorithm; fuzzy inference system; SDG 3; Sustainable Development Goals
- Identifier
- http://hdl.handle.net/1959.13/1435915
- Identifier
- uon:39859
- Identifier
- ISBN:9781728135786
- Language
- eng
- Reviewed
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