Title :
Research on fuzzy neural networks model and its application in calculation wind of the wind assessment
Author :
Lin, K.-P. ; Chen, B.-L. ; Huang, X.-Y. ; Liang, W.-L.
Author_Institution :
Guangxi Meteorol. Obs., Nanning, China
Abstract :
The self-adaptation and self-studying features of neural networks have been combined with the logical reasoning ability of fuzzy system to produce a fuzzy system based neural networks, BP arithmetic is used to adjust system parameters. Finally the fuzzy neural networks model with the wind farms calculation is established, as compared with the model of multi-variant linear regression, the fuzzy neural networks is smaller in error values of forecasting. The length time sequence data of wind could be calculate according to the short time sequence data of observation wind by FNN model in practical application, therefore the FNN is better practicability and popularize value for it provide the basis to research the exploitation wind resources.
Keywords :
backpropagation; data analysis; fuzzy neural nets; fuzzy reasoning; geophysics computing; regression analysis; wind; wind power; BP arithmetic; forecasting error; fuzzy neural network model; fuzzy system; length time sequence data; logical reasoning ability; multivariant linear regression; self-adaptation feature; self-studying feature; system parameter adjustment; wind assessment; wind farm calculation; wind observation; wind resources; Artificial neural networks; Fuzzy neural networks; Linear regression; Predictive models; Wind; Wind farms; BP arithmetic; fuzzy neural network; wind assessment; wind field calculation;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
DOI :
10.1109/WCICA.2010.5554920