استخدام الشبكات العصبية في تحديد الأهمية النسبية لبعض المتغيرات البيوميكانيكية للاعبي الاعداد و الضرب في الكرة الطائرة

الملخص EN

The purpose of this study was to identify the relative importance of some biomechanical variables of the volleyball player setter and hitter performance related to the effectiveness of the attack using artificial neural networks.

The research sample was chosen from among the female players of Ashab El-Geiad Club in Alexandria (excellent league), 12 players (8 hitters in 4 place , and 4 setters.

(age 17.7± 2.3 y, Training age 8.1 ± 2.3 y, height 173.38 ± 4.62 cm, Mass 71.6 ± 8.7 kg).

Two high speed cameras are used GoPro Hero 6 240 f/s.

BeanAir 3D Axis wireless accelerometer 24 G.

Kinovea v.0.8.27 motion analysis software, Beanscape v1.24 for.

MATLAB R2017a software for signal processing.

the skill test was used to measure the accuracy of the diagonal offensive hitting skill from place 4.

The results showed the ability of the artificial neural network to determine the relative arrangement and the relative importance of the biomechanical variables of the hitter and the setter, which is the ball speed at launch for the hitter 100 % then the ball speed at launch for the setter 74.6 %, followed by the release angle of the ball from the hitter by 69 %, then the release angle of the ball for the setter 62.4 %, after that, the ball height from the setter 57.7 %, then G force of the hitter 51.3 %.

The height of the center of mass for the hitter 42.6 %, and finally, the flight time of the ball from the setter 19.3 %.

we recommended that using of the artificial neural networks to analyze different play situations and from various places to identify the dynamics of play and develop offensive plans with a high level of accuracy.