Marine humidity prediction method, system and device and storage medium

The invention discloses a marine humidity prediction method, system and device and a storage medium, and the method comprises the steps: employing a BP neural network algorithm as a basic prediction algorithm for the filling demand of the intermittent loss of marine meteorological data and the change characteristics of the meteorological data, and based on the current situation and characteristics of the marine meteorological data, and proposing an improved particle swarm optimization BP neural network algorithm integrating interpolation and secondary gray correlation analysis to predict hourly humidity. The problem that the marine humidity hourly prediction is difficult to realize due to lack of marine meteorological data is solved, and the prediction speed and the prediction precision of the BP neural network on the humidity data are improved to a great extent by adopting a secondary gray correlation analysis algorithm. 本发明公开了一种海洋湿度预测方法、系统、装置及存储介质，本发明海洋湿度预测方法，对于海洋气象数据间断性缺失的填补需求和气象数据的变化特点，采用BP神经网络算法作为基本预测算法，