A fuzzy adaptive binary global learning colonization-mlp model for body fat prediction

Farshid Keivanian; Raymond Chiong; Zhongyi Hu

doi:10.1109/biosmart.2019.8734215

A fuzzy adaptive binary global learning colonization-mlp model for body fat prediction

Farshid Keivanian^*, Raymond Chiong, Zhongyi Hu

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution

4 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	BioSMART 2019 proceedings
Subtitle of host publication	3rd International Conference on Bio-engineering for Smart Technologies, Paris, 24th-26th April, 2019
Editors	Amine Nait-Ali
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Number of pages	4
ISBN (Electronic)	9781728135786, 9781728135779
ISBN (Print)	9781728135793
DOIs	https://doi.org/10.1109/biosmart.2019.8734215
Publication status	Published - 2019
Externally published	Yes
Event	3rd International Conference on Bio-Engineering for Smart Technologies, BioSMART 2019 - Paris, France Duration: 24 Apr 2019 → 26 Apr 2019

Conference

Conference	3rd International Conference on Bio-Engineering for Smart Technologies, BioSMART 2019
Country/Territory	France
City	Paris
Period	24/04/19 → 26/04/19

Keywords

Body Fat Prediction
Artificial Neural Networks
Feature Selection
Imperialist Competitive Algorithm
Fuzzy Inference System

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10.1109/biosmart.2019.8734215

Cite this

Keivanian, F., Chiong, R., & Hu, Z. (2019). A fuzzy adaptive binary global learning colonization-mlp model for body fat prediction. In A. Nait-Ali (Ed.), BioSMART 2019 proceedings: 3rd International Conference on Bio-engineering for Smart Technologies, Paris, 24th-26th April, 2019 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/biosmart.2019.8734215

Keivanian, Farshid ; Chiong, Raymond ; Hu, Zhongyi. / A fuzzy adaptive binary global learning colonization-mlp model for body fat prediction. BioSMART 2019 proceedings: 3rd International Conference on Bio-engineering for Smart Technologies, Paris, 24th-26th April, 2019. editor / Amine Nait-Ali. Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE), 2019.

@inproceedings{c104f12aafd24043933176dee533a429,

title = "A fuzzy adaptive binary global learning colonization-mlp model for body fat prediction",

abstract = "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.",

keywords = "Body Fat Prediction, Artificial Neural Networks, Feature Selection, Imperialist Competitive Algorithm, Fuzzy Inference System",

author = "Farshid Keivanian and Raymond Chiong and Zhongyi Hu",

year = "2019",

doi = "10.1109/biosmart.2019.8734215",

language = "English",

isbn = "9781728135793",

editor = "Amine Nait-Ali",

booktitle = "BioSMART 2019 proceedings",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "3rd International Conference on Bio-Engineering for Smart Technologies, BioSMART 2019 ; Conference date: 24-04-2019 Through 26-04-2019",

}

Keivanian, F, Chiong, R & Hu, Z 2019, A fuzzy adaptive binary global learning colonization-mlp model for body fat prediction. in A Nait-Ali (ed.), BioSMART 2019 proceedings: 3rd International Conference on Bio-engineering for Smart Technologies, Paris, 24th-26th April, 2019. Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, 3rd International Conference on Bio-Engineering for Smart Technologies, BioSMART 2019, Paris, France, 24/04/19. https://doi.org/10.1109/biosmart.2019.8734215

A fuzzy adaptive binary global learning colonization-mlp model for body fat prediction. / Keivanian, Farshid; Chiong, Raymond; Hu, Zhongyi.
BioSMART 2019 proceedings: 3rd International Conference on Bio-engineering for Smart Technologies, Paris, 24th-26th April, 2019. ed. / Amine Nait-Ali. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2019.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution

TY - GEN

T1 - A fuzzy adaptive binary global learning colonization-mlp model for body fat prediction

AU - Keivanian, Farshid

AU - Chiong, Raymond

AU - Hu, Zhongyi

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

KW - Body Fat Prediction

KW - Artificial Neural Networks

KW - Feature Selection

KW - Imperialist Competitive Algorithm

KW - Fuzzy Inference System

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U2 - 10.1109/biosmart.2019.8734215

DO - 10.1109/biosmart.2019.8734215

M3 - Conference proceeding contribution

SN - 9781728135793

BT - BioSMART 2019 proceedings

A2 - Nait-Ali, Amine

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, NJ

T2 - 3rd International Conference on Bio-Engineering for Smart Technologies, BioSMART 2019

Y2 - 24 April 2019 through 26 April 2019

ER -

Keivanian F, Chiong R, Hu Z. A fuzzy adaptive binary global learning colonization-mlp model for body fat prediction. In Nait-Ali A, editor, BioSMART 2019 proceedings: 3rd International Conference on Bio-engineering for Smart Technologies, Paris, 24th-26th April, 2019. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). 2019 doi: 10.1109/biosmart.2019.8734215

A fuzzy adaptive binary global learning colonization-mlp model for body fat prediction

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