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

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.