|
Rumethart D E，McCelland J L，Eds．Parallel Distributed Processing 1:Foundation.Cambridge, M A：MIT Press，1986．Chapter 8：318-362．[2]Grossmann A，Morlet J．Decomposition of Hardy functions into square integrable wavelets of constant shape．SIAM J．Math．Anal，1984，(15)：723-736．[3]Meyer Y．Wavelet：Algorithms and Applications．Philadelphia，PA：SIAM Press,1993．[4]Chui C K，Ed．Wavelet：A Tutorial in Theory and Application．New York：NY：Academic Press 1992．[5]Chui C K．An Introduction to Wavelets．New York：NY：Academic Press，1992．[6]Daubechies I．Ten Lectures on wavelets．Philadelphia，PA：SIAM Press,1992．[7]Daubechies I. The wavelets transfbrm, time-frequency localization and signal analysis.IEEE Trans.on Info.Theory.1990,IT-36(5):961-1005.[8]Daugman G.Complete discrete 2-D transforms by neural networks for image analysis and com pression.IEEE Trans. On ASSP, 1988, ASSP-36(7): 1169-1179.[9]Telfer B, Szu H, Dobeck G. Adaptive wavelet classification of acoustic backscatter and imagery[J].Optical Engineering.1994, 33(9):2192-2203[10]Casasent D, Smokelin J S. Neural net design of macro Gabor wavelet filters for distortion-invariant object detection in clutter. Optical Engineering, 1994, 38(9): 2264-2271.[11]Denk T, et al. Combining neural networks and the wavelet transform for image compression.Proc. IEEE ICASSP. Minnesota, USA: 1993, 1:637-640.[12]Szu H, Yang X, Telfer B, et al. Neural network and wavelet transform for scale-invariant data classification[J].Phys. Rev. E.1993, 48(2):1497-1501[13]Kalayci T, Ozdamar O, Erdol N. The Use of wavelet transform as preprocessor for the nmural network detection of EEG spikes. Proc. IEEE Southeast Conference, 1994, 1-3.[14]Cheng Qiming, Tian Jilei,Zhang Shujing, et al. The Application of neural network to wavelet decomposition of surface EMG signal. Proc. Of IJCNN, Beijing: 1992, 1:889-892.[15]Mukherjee S, Nayar S K. Automatic generation of RBF networks using wavelets[J].Pattern Recog nition.1996, 29(8):1369-1383[16]Hecht-Nielson R.Theory of the backpropagation neural network. Proc. Of IJCNN, Washington DC, USA: 1989, 1:593-611.[17]Pati Y C, Krishnaprasad P S. Discrete Affine Wavelet Transform for Analysis and Synthesis of Feedforward Neural Network. Advances in Neural Information Processing System.Lippman R (Eds.) San Mateo, CA: Morgan Kaufmann, 1990, 3:743-749.[18]Pati Y C,Krishnaprasad P S. Analysis and synthesis of feedforward neural network using discrete affine wavelet. IEEE Trans. On NN, 1993, NN-4(1): 73-75.[19]Zhang Q, Benveniste A. Wavelet networks. IEEE Trans. On NN: 1992, NN-3(6): 889-898.[20]Szu H, Telfer B, Kadambe S. Neural network adaptive wavelets for signal representation and classification[J].Optical Engineering.1992, 31(9):1907-1916[21]Baskshi B R, Stephanopoulous G. Wave-net: a multiresolution,hierarchical neural network with localized learning. American Institute Chemical. Engineering Journal., 1993; 39(1): 57-81.[22]Boubez T, Peskin R L. Wavelet neural networks and receptive field partitioning. Proc. Of IEEE ICNN, San Francisco, CA, USA: 1993, 3:1544-1549.[23]Zhang Jun: Walter G, Miao Y, ea al. Wavelet neural networks for function learning. IEEE Trans. On SP, 1995, SP-43(6): 1485-1497.[24]石卓尔,焦李成,保铮. 子波神经网络.中国神经网络1993年学术大会论文集(上),西安:1993,85-96.[25]丁宇新,沈雪勤.基于能量密度的小波神经网络.计算机学报.1997.20(9):832-838.[26]沈雪勤,贾向红,吴永清.能量密度在正交小波神经网络中的应用.1997年中国神经计算科学大会论文集 CCNS,南京:1997,2:613-616.[27]高协平,张钹.区间小波神经网络(I)理论与实现.软件学报, 1998:9(3): 217-221.[28]高协平,张钹.区间小波神经网络(II)性质与模拟.软件学报, 1998, 9(4): 246-250.[29]王岭,焦李成.区间估计的FWNN及其区间间学习算法.电子学报,1998,26(4):41-45.[30]Zhang Liangjie, Li Yanda. Wavelet Based Fuzzy Networks.Proc.ISANN.Taiwan:1994,180-185.
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