Abstract
In this paper, the authors propose the Free-Kick Support System, which solves the inverse problem of the free-kick simulator. The free-kick simulator is the system which physically computes the motion of soccer ball by the information of ball position, velocity, rotating angle, rotating speed and the aerodynamic properties of soccer ball. Using the Neural Network (NN) and the Self-Organizing Map (SOM), the Free-Kick Support System solves the inverse problem of the free-kick simulator and the output is available for the practice of the free-kick and making a strategic plan of real soccer games. Furthermore, the authors propose the evaluation method of the modular network SOM (mnSOM) for quantitatively evaluating the learning effects, and show that the mnSOM is useful for the Free-Kick Support System.
