The Optimization of Resistance Training Volume to Improvement Maximal Strength with the Help of Artificial Neural Network

The aim of this research was to optimize of resistance training volume for improvement maximal strength with the help of artificial neural network. For this purpose, 12 different combines of sets and repetitions has considered, then 94 untrained male selected as available sample between all boy students of Hakim Sabzevari University (age: 22±1.2 years, height: 173±7 cm, body mass: 66±10.7 kg) that had registered physical education, and were randomly assigned to 8 training groups (3×3 RM, 3×4 RM, 3×6 RM, 4×4 RM, 4×6 RM, 5×3 RM, 5×5 RM and 5×6 RM), and 4 remained groups (3×5 RM, 4×3 RM, 4×5 RM and 5×4 RM) eliminated from proposed sets and repetitions domain because with the help of artificial neural network can be predicted results of this groups. Subjects in each training groups performed bench press, leg press, rowing and lying leg adduction exercises, 2 days per week, for 8 weeks. Before beginning and after ending of training period, lean body mass, body fat percentage, and 1 repetition maximum (1RM) values for leg press and bench press was measured. In this research artificial neural network model, designed with 2 input variables and one output variable. At the end, the results of experimental and predicted groups, that they have stated in percentage, was compared with each other, and following results gained: the 5×6 RM group achieved greater increase in leg press 1RM and lean body mass and greater decrease in body fat percentage, whereas 4×4 RM group achieved greater increase in bench press 1RM. According to these results, people who are interested to gain greater maximal strength in lower body muscles, lean body mass and decrease in body fat percentage, in above-mentioned of domain of sets and repetitions, high volumes training protocol, is superior to other protocols; whereas increasing of maximal strength in upper body muscles by use of lower volume protocols, will be achieved too.