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Volume 22 Issue 3
May  2000
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Chen Zhe, Feng Tianjin. RESEARCH ADVANCES ON COMBINATIN OF WAVELET ANALYSIS AND NEURAL NETWORKS[J]. Journal of Electronics & Information Technology, 2000, 22(3): 496-504.
Citation: Chen Zhe, Feng Tianjin. RESEARCH ADVANCES ON COMBINATIN OF WAVELET ANALYSIS AND NEURAL NETWORKS[J]. Journal of Electronics & Information Technology, 2000, 22(3): 496-504.

RESEARCH ADVANCES ON COMBINATIN OF WAVELET ANALYSIS AND NEURAL NETWORKS

  • Received Date: 1998-10-05
  • Rev Recd Date: 1999-05-23
  • Publish Date: 2000-05-19
  • In recent years,the researches on combination of wavelet analysis and neural net works have attracted much attention.This paper reviews the development and status about this field.The combination of wavelet and neural networks can be categorizde into the ancillary type and the embedded type,the latter of which is referred to wavelet neural networks(WNN). WNN including its main models,algorithms and other issues are discussed.The applications and prospects of WNN are also given,which showed that WNN have great competence and po tential in the applications of function approximation,signal classification,system identification and image compression.
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  • 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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