Accession number:20094612446810
Title: A novel prediction method for body fat by using choquet integral with respect to l-measure and gamma-support
Authors: Chen, I-Ju (1); Lee, Ming-Jung (1); Jeng, Bai-Cheng (2); Wu, Der-Bang (2)
Author affiliation:(1) 1Department of Physical Education, Asia University, Taiwan; (2) Graduate Institute of Educational
Measurement and Statistics, Taichung University, Taichung, Taiwan;
(3) Department of Mathematics Education, Taichung University, Taichung, Taiwan
Corresponding author:Chen, I.-J.
Source title: Proceedings of the 2009 International Conference on Machine Learning and Cybernetics
Abbreviated source title:Proc. Int. Conf. Mach. Learn. Cybern.
Volume:6
Monograph title:Proceedings of the 2009 International Conference on Machine Learning and Cybernetics
Issue date:2009
Publication year:2009 Pages:3172-3176
Article number:5212802 Language:English
ISBN-13:9781424437030
Document type:Conference article (CA)
Conference name:2009 International Conference on Machine Learning and Cybernetics
Conference date:July 12, 2009 - July 15, 2009 Conference location:Baoding, China
Conference code:78063
Publisher:IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States
Abstract:Establishing a good algorithm for predicting body fat of body composition is an important issue. In this study, a novel body fat prediction method by using Choquet integral regression model based on L-measure and Gamma-support is proposed. For
evaluating the performance of this new algorithm, a 5-fold Cross-
Validation RMSE is performed. Experimental result shows that this new prediction scheme is better than the Choquet integral
regression model based on Gamma-measure and P-measure,
respectively and two traditional prediction models, ridge regression and multiple regression models, respectively. © 2009 IEEE.
Number of references:11
Main heading:Regression analysis
Controlled terms: Biochemistry - Control theory - Cybernetics - Integral equations - Mathematical models - Robot learning
Uncontrolled terms: Body composition - Body fats - Choquet integral - Cross validation - L-measure - Multiple regression model -
Prediction methods - Prediction model - Prediction schemes - Regression model - Ridge regression
Classification code:921.2 Calculus - 921 Mathematics - 801.2 Biochemistry - 922.2 Mathematical Statistics - 731.5 Robotics - 723.4 Artificial Intelligence - 461.9 Biology - 731.1 Control Systems DOI:10.1109/ICMLC.2009.5212802
Database:Compendex
Compilation and indexing terms, Copyright 2009 Elsevier Inc.
