Research on Data Processing Method of High Altitude Meteorological Parameters Based on Neural Network

ABSTRACT

The high altitude meteorological parameters include longitude, latitude, atmospheric pressure, temperature, humidity, etc., which are influenced between each parameter, therefore, it is very important to deal with and analyze these parameters. In this paper, we employ MATLAB software, research the basic algorithm of BP neural network, compare resilient BP algorithm, the Fletcher- Reeves algorithm and the proportion conjugate gradient algorithm, establish the forecast model of high altitude meteorological data with Fletcher-Reeves algorithm, and analyze the influence of the hidden layer nodes of training. Finally, we analyze the errors of the sensor models, obtain the optimal results using neural network, and ascertain the final data processing method.

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