基于灰色马尔柯夫模型的水体泥沙含量预测

Sediment content prediction based on Grey Markov Model

灰色马尔柯夫模型是一种随机预测模型,被广泛的应用于社会、科学的预测中。本文利用灰色马尔柯夫模型对室内试验水流泥沙含量进行了预测。经验证,灰色马尔柯夫模型适用于对水流泥沙含量预测,并具有较好的精度。在此基础上,提出了改进的建议,使模型更具有实用性和可操作性。

The Grey Markov Model is a random prediction model and is applied to a wide range of social and scientific prediction. In this paper, the Gray Markov Model is applied to predict the sediment content of indoor erosion test. The results show that the Gray Markov Model is applicable to predict flow and sediment content with good accuracy. On this basis, recommendations for improvement of the model have been proposed to make the model more practical and operable.