Application Experiment of BP Neural Network Model in Long-Term Weather Forecasts
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Abstract:
A forecast model for long-term weather forecast is established in terms of a BP neural network using solar-lunar positions as input factors. The results of the operational experiments show that the model is superior compared to the model using solar-lunar position probability directly. The forecasting capability of the model based on the BP neural network technology is good for relatively large rainfall and temperature-increasing/decreasing weather processes. It is an important and useful model for operational forecasting practice at present.
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Clc Number:
P45 U260.331.2
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Supported by:Beijing E-Tiller Technology Development Co., Ltd.
Supported by:Beijing E-Tiller Technology Development Co., Ltd.