Developing VO2max Prediction Models Using Machine Learning Methods的封面
书籍主题:

Developing VO2max Prediction Models Using Machine Learning Methods

LAP LAMBERT Academic Publishing (2015-11-24 )

Books loader

Omni badge 有获得代金券的资格
ISBN-13:

978-3-659-80614-8

ISBN-10:
3659806145
EAN:
9783659806148
书籍语言:
英文
作品简介:
The purpose of this work is to develop VO2max prediction models by using non-exercise, submaximal and hybrid variables by using Support Vector Machines (SVM), Multi-layer Feed-forward Artificial Neural Networks (MFANN) and Multiple Linear Regression (MLR) on different data sets. Using 10-fold cross validation on four different data sets, the performance of prediction models has been evaluated by calculating their multiple correlation coefficients (R’s) and standard error of estimates (SEE’s). The results show that SVM-based VO2max prediction models perform better (i.e. yield lower SEE’s and higher R’s) than the prediction models developed by MFANN and MLR. We also propose a new approach based on the elimination of irrelevant samples during the training phase for improving the performance of SVM and MFANN models for prediction of VO2max. The performance of the proposed approach has been compared with the two widely used outlier detection algorithms. The results show that the improved SVM-based and MFANN-based VO2max prediction models yield noticeable decrements in error rates compared to that of regular and outlier-based SVM and MFANN VO2max prediction models.
出版社 :
LAP LAMBERT Academic Publishing
网址:
https://www.lap-publishing.com/
由(作者):
Mustafa Açıkkar, Mehmet Fatih Akay
页码 :
184
发表日期:
2015-11-24
现货:
备有现货
类别:
信息学,信息技术
价格:
71.90 €
关键词:
Machine Learning, Maximum oxygen uptake, prediction

Books loader

时事通讯

Adyen::diners Adyen::jcb Adyen::discover Adyen::amex Adyen::mc Adyen::visa Adyen::cup Adyen::unionpay Adyen::paypal Paypal CryptoWallet 银行转帐

LOGIN
  0产品在购物车内
编辑购物车
Loading frontend
LOADING