天气湿度预测模型数据

可以用于天气湿度预测,输入降水量、干球温度、风速数据，输出为相对湿度。该模型帮助解决了天气相对湿度和降水量、干球温度、风速关系建模的问题。将采集的数据使用传统算法，多元线性回归算法等方式以预测天气湿度。该模型通过输入降水量、干球温度、风速数据，来输出预测的天气相对湿度。

This predictive model is designed for weather humidity prediction. It takes precipitation, dry-bulb temperature and wind speed as input features, and outputs relative humidity. It solves the problem of modeling the relationship between weather relative humidity and precipitation, dry-bulb temperature as well as wind speed. Collected datasets are utilized for weather humidity prediction through traditional algorithms such as multiple linear regression. This model generates the predicted weather relative humidity by taking precipitation, dry-bulb temperature and wind speed as inputs.

搜集汇总

数据集介绍

特点

该数据集是一个用于天气湿度预测的企业数据，包含563360条记录，每年更新一次。通过输入降水量、干球温度和风速数据，使用多元线性回归等算法预测相对湿度。