A prediction model of ice thickness based on T-S fuzzy neural networks
Liping Zhao · Hunan Electric Power · 2012
The paper presents an ice thickness prediction model based on T-S fuzzy neural network under the extreme freezing weather conditions.Firstly,the time series are used to fit the meteorological factors of the extreme weather.Then based on the fitting meteorological factors,the ice thickness of the transmission lines can be predicted by means of the T-S fuzzy neural network.The proposed model is tested with a numerical example to demonstrate its abilities of better learning,mapping,generalization.