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NEAR-INFRARED SPECTRUM CHARACTERISTIC SUBINTERVAL SELECTION METHOD BASED ON SIMULATED ANNEALING-GENETIC ALGORITHM

机译:基于模拟退火-遗传算法的近红外光谱特征子区间选择方法

摘要

A near-infrared spectrum characteristic subinterval selection method based on a simulated annealing-genetic algorithm comprises pre-treating a near-infrared spectrum first, and then dividing the pretreated near-infrared spectrum into subintervals dynamically, introducing the Metropolis rule of the simulated annealing algorithm into the gene exchange operator and the gene selection operator of the genetic algorithm, selecting an optimal characteristic subinterval using the simulated annealing-genetic algorithm, finally judging an optimal subinterval division manner and an optimal characteristic subinterval combination, establishing a partial least squares (PLS) model for the selected optimal characteristic subinterval.
机译:基于模拟退火遗传算法的近红外光谱特征子区间选择方法包括:先对近红外光谱进行预处理,然后将预处理后的近红外光谱动态划分为子区间,引入模拟退火算法的Metropolis规则。进入遗传算法的基因交换算子和基因选择算子,使用模拟退火遗传算法选择最优特征子区间,最后判断最优子区间划分方式和最优特征子区间组合,建立偏最小二乘(PLS)所选最佳特征子间隔的模型。

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