عنوان : ( Optimizing anthropometric characteristics using two Rbf and Kriging models )
نویسندگان: منیره رضویان نامقی , ayman amer , محمد حسین مقیمی , فرهاد ابراهیمی , زهرا سادات میرزازاده , فریدا صادقی ,
Full Textچکیده
In this research, using anthropometric parameters (input) and functional characteristics (output) of speed of 5, 10 and 20 meters, the top three male wheelchair tennis players of the Islamic Republic of Iran have been studied. Considering that artificial intelligence and machine learning are very important in the field of optimization and parametric study, our goal is to get the best player with the least cost, time and energy using two machine learning algorithms (kriging) and neural network (RBF) and finally reach the best design (player) using genetic algorithm
کلمات کلیدی
, wheelchair tennis, machine learning, optimization, functional characteristics, anthropometric characteristics
@inproceedings{paperid:1100519,
author = {منیره رضویان نامقی and Ayman Amer and محمد حسین مقیمی and ابراهیمی, فرهاد and میرزازاده, زهرا سادات and فریدا صادقی},
title = {Optimizing anthropometric characteristics using two Rbf and Kriging models},
booktitle = {EICEEAI 2023: 2nd Engineering International Conference on Electrical, Energy, and Artificial Intelligence 2023},
year = {2023},
location = {زرقا, اردن},
keywords = {wheelchair tennis; machine learning; optimization; functional characteristics; anthropometric characteristics},
}
%0 Conference Proceedings
%T Optimizing anthropometric characteristics using two Rbf and Kriging models
%A منیره رضویان نامقی
%A Ayman Amer
%A محمد حسین مقیمی
%A ابراهیمی, فرهاد
%A میرزازاده, زهرا سادات
%A فریدا صادقی
%J EICEEAI 2023: 2nd Engineering International Conference on Electrical, Energy, and Artificial Intelligence 2023
%D 2023
