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This study examines the optimization and upgrading of basketball shoes from the perspective of engineering mechanics, including the introduction of the concept of soil mechanics in the reinforcement of the midsole of basketball shoes. This method has been found to effectively reduce the deformation of the upper and the torsion of the sole during sudden stops in basketball, while enhancing the overall stability of basketball shoes. Furthermore, the plastic surface is fitted using a neural network and deep learning to obtain the shoe reinforcement surface. This method allows for the improvement of both the service life of the basketball shoes and the athletic performance of the athletes without the necessity of upgrading the upper and sole materials.