Weightlifting (Snatch) Optimization by Artificial Neural Networks

N. Jamshidi, M. Rostami, A. Reza Arshi, and F. Salaami (Iran)


Neural Networks, Optimization, Weightlifting, Biomechanics


In this paper the weightlifters snatch optimization will be studied. The biomechanical model is used for two dimensional modeling on sagittal plan. It is estimated by an error back propagation network, in a way that inputs of this network are kinematics data such as absolute angular velocity, relative angles of joints, of different body segments and output is created torque at the joints. Finally the neural network model has been optimized for minimizing the created torque at the joints.

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