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《Computer Applications and Software》 2008-11
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APPLICATION OF WAVELET NEURAL NETWORK BASED ON QR-ROLS ALGORITHM

Huang Yijun~(1,2) Li Yanlin~1 1 (Department of Computer Science and Technology,Xinyang Normal University,Xinyang 464000,Henan,China) 2 (The Aeronautical College of Air Force,Xinyang 464000,Henan,China)  
Considering the structural design and weight selection of wavelet neural network,a recursive orthogonal least squares algorithm based on QR decomposition is presented.The computing time and resources are saved by this algorithm.Simulation results show that the wave- let network based on QR-ROLS algorithm has better structure and works more efficiently than the wavelet network designed by time-frequency property of signal.
【CateGory Index】: TP183
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