An optimized fractional grey model based on weighted least squares and its application

The fractional grey model is an effective tool for modeling small samples of data. Due to its essential characteristics of mathematical modeling, it has attracted considerable interest from scholars. A number of compelling methods have been proposed by many scholars in order to improve the accuracy and extend the scope of the application of the model. Examples include initial value optimization, order optimization, etc. The weighted least squares approach is used in this paper in order to enhance the model's accuracy. The first step in this study is to develop a novel fractional prediction model based on weighted least squares operators. Thereafter, the accumulative order of the proposed model is determined, and the stability of the optimization algorithm is assessed. Lastly, three actual cases are presented to verify the validity of the model, and the error variance of the model is further explored. Based on the results, the proposed model is more accurate than the comparison models, and it can be applied to real-world situations

废旧动力电池中有色金属的创新回收方法

This paper explains the team's research and development of a new vertical eddy current sorting machine, which solves the problem of high pollution and high emission that cannot process small-size electronic waste, can only sort non-metals and metals, and cannot separate different metals at the same time. It is a kind of mechanical and physical equipment that can realize the separation between small non-metals and metals and different metals