Artificial wavelet neuro-fuzzy model based on parallel wavelet network and neural network

Soft Computing

Volumn 12, Issue 8, 2008, Pages 789-808

  Banakar, Ahmad ^a   Azeem, Mohammad Fazle ^a  

^a ALIGARH MUSLIM UNIVERSITY   (India)

Author keywords

Neural network; Neuro fuzzy model; Wavelet; Wavelet network

Indexed keywords

CONVERGENCE OF NUMERICAL METHODS; LEARNING SYSTEMS; LYAPUNOV FUNCTIONS; STABILITY; WAVELET TRANSFORMS;

PARALLEL WAVELET NETWORK; SIGMOIDAL ACTIVATION FUNCTION;

FUZZY NEURAL NETWORKS;

EID: 41449110002     PISSN: 14327643     EISSN: 14337479     Source Type: Journal    
DOI: 10.1007/s00500-007-0238-z     Document Type: Article

References (29)

1. Hossen A (2004). Power spectral density estimation via wavelet decomposition. Electron Lett 40(17):1055-1056
2. Krishnamachari S and Chellappa R (1992). GMRE models and wavelet decomposition for texture segmentation. Int Conf Image Process 3(6): 889-898
3. Rumelhart DE, Hinton GE, Williams RJ (1986) Learning internal representations by error propagation. In: McClelland JL, Rumelhart DE (eds) Parallel distributed processing. MIT Press, Cambridge
4. Narendra KS and Parthasarathy K (1990). Identification and control of dynamical systems using neural networks. IEEE Trans Neural Netw 1(1): 4-27
5. Takagi T and Sugeno M (1985). Fuzzy identification of systems and its applications to modeling and control. IEEE Trans Syst Man Cybern 15:116-132
6. Quang CS, Lee WJ and Lee SJ (2005). A TSK-type neuro-fuzzy network approach to system modeling problems. IEEE Trans Syst Man Cybern B Cybern 35(4): 751-767
7. Azeem MF, Hanmandlu M and Ahmad N (2003). Structure identification of generalized adaptive neuro-fuzzy inference systems. IEEE Trans Fuzzy Syst 11(5): 666-681
8. Sugeno M and Yasukawa T (1993). A fuzzy-logic-based approach to qualitative modeling. IEEE Trans Fuzzy Syst 1(1): 7-31
9. Boubez TI and Peskin RL (1993). Wavelet neural networks and receptive field partitioning. IEEE Int Conf Neural Netw 3:1544-1549
10. Yamakawa T, Uchino E and Samatsu T (1994). Wavelet neural networks employing over-complete number of compactly supported non-orthogonal wavelets and their applications. IEEE World Congr Comput Intell 3:1391-1396
11. Wang T and Sugai Y (2000). A wavelet neural network for the approximation of nonlinear multivariable function. Trans Inst Electric Eng Jpn C 102-C:185-193
12. Ting W and Sugai Y (1999). A wavelet neural network for the approximation of nonlinear multivariable function. IEEE Int Conf Syst Man Cybern 3:378-383
13. Wang T and Sugai Y (2000). The local linear adaptive wavelet neural network with hybrid EP/gradient algorithm and its application to nonlinear dynamic system identification. Trans Inst Electric Eng Jpn C 102-C:185-193
14. Chen Y, Yang B and Dong J (2006). Time-series prediction using a local linear wavelet neural network. Trans Inst Electric Eng Jpn 69(4-6): 449-465
15. Chen Y, Yang B and Dong J (2006). A local linear adaptive wavelet neural network. Trans Inst Electric Eng Jpn 69(4-6): 449-465
16. Zhang Q (1992). Wavelet networks. IEEE Trans Neural Netw 3(6): 889-898
17. Zhang J, Walter GG, Miao Y and Lee W (1995). Wavelet neural networks for function learning. IEEE Trans Signal Process 43(6): 1485-1497
18. Zhang Q (1997). Using wavelet network in nonparametric estimation. IEEE Trans Neural Netw 8(2): 227-236
19. Benveniste A, Juditsky A, Delyon B, Zhang Q, Glorennec PY (1994) Wavelets in identification. In Proceedings of SYSID'94, 10th IFAC symposium system identification, Copenhagen, Denmark
20. Jang JSR (1993). ANFIS: Adaptive-network-based fuzzy inference system. IEEE Trans Syst Man Cybern 23(3): 665-685
21. Ho DWC, Zhang PA and Xu J (2001). Fuzzy wavelet networks for function learning. IEEE Trans Fuzzy Syst 9(1): 200-211
22. Lin CJ, Chin CC and Lee CL (2003). A wavelet based neuro-fuzzy system and its applications. Proc Int Joint Conf Neural Netw 3:1921-1926
23. Rao RM, Bopardikar AS (2004) Wavelet transform: Introduction to theory and applications. Pearson education (India)
24. Daubechies I (1992). Ten lecture on wavelets, CBMS series. SIMA, Philadelphia
25. Burrus CS, Gopinath RA and Guo H (1997). Introduction to wavelets and wavelet transforms. Prentice Hall, Englewood Cliffs
26. Oussar Y and Dreyfus G (2000). Initialization by selection for wavelet network training. Neurocomputing 34: 131-143
27. Lee CH and Teng CC (2000). Identification and control of dynamic systems using Recurrent Fuzzy Neural Networks. IEEE Trans Fuzzy Syst 8(4): 349-366
28. Chung FL and Lee T (1998). Analytical resolution and numerical identification of fuzzy relational systems. IEEE Trans Syst Man Cybern B Cybern 28(6): 919-924
29. Yager RR and Filev DP (1994). Generation of fuzzy rules by mountain clustering. J Int Fuzzy Syst 2:209-219