Aiming at the problem of low accuracy of the contemporary models for air quality index predic-tion,an air quality index prediction model based on dung beetle optimizer(DBO)algorithm optimized least squares support vector machine(LSSVM)is proposed.The model uses a dung beetle optimizer algorithm to find the best of two parameters of the least squares support vector machine to improve prediction speed and accuracy.And compare with the traditional least squares support vector machine and gray wolf optimization algorithm to op-timize the least squares support vector machine model.The experimental simulation results show that the mean square error,mean absolute error and coefficient of determination of the least squares support vector machine prediction model optimized by the dung beetle optimization algorithm are optimal values,which can provide more accurate support for air quality index prediction.
air quality predictiondung beetle optimizerLSSVMpredictive models
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