Used Mobile Phone Recognition Method Based on Differential Evolution - Deep Forest

With the continuous development of the mobile phone industry, used mobile phone (UMP) recycling has become a hot topic. At present, few experts research UMP recognization (UMPR) methods based on UMP recycling equipment. Deep forest (DF) identification model of UMPs for intelligent recycling equipment has been proposed, which has many parameters to be manually adjusted. Aim at the above problems, this paper combines differential evolution (DE) algorithm and DF model to propose a method for identifying UMPs. First, the candidate multi-scale feature parameters and DF parameters are given out. Next, we use DE to find the optimal parameters with DF accuracy as the evaluation criterion. Finally, we feed the obtained optimal parameters into the DF model to construct the final UMPR model. Simulation results based on mobile phone pictures of the Ministry of Industry and Information Technology prove the effectiveness of the method.