一种基于马尔可夫链的随机预测模型——以日本地方经济为例

本文通过分析研究,提出一种基于马尔可夫链的随机预测模型,该模型在预测日本地方经济时可以取得较好的效果。该模型可以预测2020年及之前日本各地方县市经济的变化情况。虽然本文提出的模型比较简单,但通过扩展,该模型在预测日本地方县市经济时可以提供更准确的信息。

A Random Predicting Model Based on Markov Chain：Taking Economy of Japan as an Example

Through analysis and research, this paper puts forward a random predicting model based on Markov chain. This model can achieve better results in predicting the Japanese local economy. The model can predict the changes of the Japanese local economy by 2020. Although the proposed model is relatively simple, it can provide more accurate information in the prediction of Japanese local economy through expansion of the model.