طاهری, علی

[ 1 ] - طبقه‌بندی بار کاری فیزیکی بر مبنای مدل بهینه‌شده از شبکۀ ANFIS با الگوریتم ژنتیک

Background: Recently adaptive neuro-fuzzy inference system is used for the classification of physical load based on three parameters including %HRmax, HRrest, and body weight. The aim of this study was to optimize this model to reduce the error and increase the accuracy of the model in the classification of physical load.  Methods: The heart rate and oxygen consumption of 30 healthy men were m...