daytime parts

Due to a variety of influence factors, outside dry-bulb temperature takes on a systematic and randomfluctuation. If a deterministic model is used to forecast the dry-bulb temperature, the predicted resultoften has a rough accuracy. Neural network can learn the internal regularity of the sample data bysample training; therefore it has very much adaptability and advantage in the aspects of forecast.The influence factors of outside dry-bulb temperature exist difference in the daytime and the nighttime,which makes the fluctuant regularity of outside dry-bulb temperature inconsistent.