학술논문
基于BPNN模型对降雨量预测研究 / Research on Rainfall Prediction Based on BPNN Model
Document Type
Academic Journal
Source
价值工程 / Value Engineering. 43(5):143-145
Subject
Language
Chinese
ISSN
1006-4311
Abstract
近年来天气异常状况频发,依靠传统的技术手段已无法对降水量进行有效预测,为了对昆明市某地区降水量较为准确的预测,本文将昆明市某地区降雨量样本进行分析建立了ARIMA和BPNN模型,将这两个模型的预测结果进行分析比较,结果表明BPNN模型的预测精度较高,对降雨量的趋势和数值有着较为准确的预测.
Due to frequent weather anomalies this year,it is impossible to effectively predict precipitation by traditional technical means.In order to study more accurate prediction of precipitation in a certain area of Kunming,this paper analyzes rainfall samples in a certain area of Kunming,establishes ARIMA and BPNN models,and compares the prediction results of the two models.The results show that the BPNN model has higher prediction accuracy and more accurate prediction of rainfall trend and value.
Due to frequent weather anomalies this year,it is impossible to effectively predict precipitation by traditional technical means.In order to study more accurate prediction of precipitation in a certain area of Kunming,this paper analyzes rainfall samples in a certain area of Kunming,establishes ARIMA and BPNN models,and compares the prediction results of the two models.The results show that the BPNN model has higher prediction accuracy and more accurate prediction of rainfall trend and value.