国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

Aiming at the problems of complex formulas and long evaluation time of existing slime flotation control algorithms, a comprehensive evaluation model of ash content of flotation cleaned coal based on multiple least squares support vector machine (LS-SVM) is proposed. Firstly, a single estimation model of single coal type based on LS-SVM is established, and its internal parameters are optimized by gravity search algorithm. The first mock exam is to update the model updating strategy, which solves the problem of the single model"s accuracy degradation. In addition, in the first mock exam, we also study several LS-SVM models composed of multiple single models and model switching mechanism. Finally, the industrial test and evaluation are carried out. The average relative error between the evaluation value and the actual value is 3.32%. The estimation accuracy and adaptability of the comprehensive model can meet the industrial requirements.