Citation: | Yuan Quan, Dong Chaoyang, Wang Qinget al. Adaptive fusion algorithm based on wavelet neural networks for multisensor measurement[J]. Journal of Beijing University of Aeronautics and Astronautics, 2008, 34(11): 1331-1334. (in Chinese) |
[1] Zhang Jun, Walter G, Miao Y. Wavelet neural networks for function learning[J]. IEEE Transactions on Signal Processing, 1995, 43(6): 1485-1497 [2] 李冬辉,周巍巍.基于多分辨率小波网络-BP神经网络-D-S证据理论信息融合模型的直流系统故障诊断方法[J].电网技术,2004,28(24): 16-20 Li Donghui, Zhou Weiwei. DC system grounding fault diagnosis method based on data fusion model of MRNN-BPN-DS[J]. Power System Technology, 2004, 28(24): 16-20(in Chinese) [3] 罗跃纲,陈长征,曾海泉,等.基于信息融合的集成小波神经网络故障诊断[J].东北大学学报(自然科学版),2002,23(8): 802-805 Luo Yuegang, Chen Changzheng, Zeng Haiquan, et al. Integrated wavelet neural networks in fault diagnosis based on information fusion[J]. Journal of Northeastern University(Natural Science), 2002, 23(8): 802-805(in Chinese) [4] Francois Caron, Emmanuel Duflos, Denis Pomorski,et al. GPS/IMU data fusion using multisensor Kalman filtering: introduction of contextual aspects[J]. Information Fusion, 2006, 7(2): 221-230 [5] Bar-Shalom Y, Campo L. The effect of the common process noise on the two-sensor fused-track covariance[J]. IEEE Transactions on Aerospace Electronic Systems, 1986, 22(11): 803-805 [6] 魏东,马瑞平,张明廉,等.基于神经网络的自适应非线性控制及仿真研究[J].北京航空航天大学学报,2004,30(3): 217-221 Wei Dong, Ma Ruiping, Zhang Minglian, et al. Artificial-neural-network-based nonlinear adaptive control and simulation[J].Journal of Beijing University of Aeronautics and Astronautics, 2004,30(3): 217-221(in Chinese)
|