Rough sets for adapting wavelet neural networks as a new classifier system

Applied Intelligence

Volumn 35, Issue 2, 2011, Pages 260-268

  Hassan, Yasser F ^a  

^a Alexandria University Faculty Of Science   (Egypt)

Author keywords

Classification; Rough sets; Rule induction; Wavelet neural networks

Indexed keywords

APPROXIMATE REASONING; CLASSIFICATION RULES; CLASSIFIER SYSTEMS; COMPUTATIONAL EFFORT; DATA MINING PROBLEMS; DYNAMIC SCALING; FASTER CONVERGENCE; HYBRID NETWORK; INPUT DATAS; NETWORK STRUCTURES; NEW MODEL; ROUGH SET; RULE INDUCTION; UNIVERSAL APPROXIMATION; WAVELET NEURAL NETWORKS;

CLASSIFICATION (OF INFORMATION); DATA MINING; DECISION TABLES; DECISION THEORY; HYBRID SYSTEMS; KNOWLEDGE BASED SYSTEMS; ROUGH SET THEORY;

NEURAL NETWORKS;

EID: 80052970383     PISSN: 0924669X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10489-010-0218-3     Document Type: Article

References (18)

1. H Abiyev 2004 Fuzzy wavelet neural network for control of dynamic plants Int J Comput Intell 1 2 1304 4508
2. E Avci 2007 Performance comparison of wavelet families for analog modulation classification using expert discrete wavelet neural network system Expert Syst Appl 33 23 35 10.1016/j.eswa.2006.04.002 (Pubitemid 44959914)
3. W Dong Y Zhao J Wang SH Gu 2005 New approach to structure optimization of wavelet neural network based on rough sets theory Int J Inf Syst Sci 1 3 382 389 1102.68546
4. W Duch R Setiono J Zurada 2004 Computational intelligence methods for rule-based data understanding Proc IEEE 92 5 771 805 10.1109/JPROC.2004.826605 (Pubitemid 40890729)
5. S Egawa K Suyama A Yoichi K Matsumoto C Tsukayama S Kuwao S Baba 2001 A study of pretreatment nomograms to predict pathological stage and biochemical recurrence after radical prostatectomy for clinically respectable prostate cancer in Japanese Men Jpn J Clin Oncol 31 2 74 81 10.1093/jjco/hye018 (Pubitemid 32293968)
6. H Esen F Ozgen M Esen A Sengur 2009 Artificial neural network and wavelet neural network approaches for modeling of a solar air heater Expert Syst Appl 36 11240 11248 10.1016/j.eswa.2009.02.073
7. M Han J Yin 2008 The hidden neurons selection of the wavelet networks using support vector machines and ridge regression Neurocomputing 72 471 479 10.1016/j.neucom.2007.12.009
8. Y Hassan E Tazaki S Egawa K Suyama 2002 Decision making using hybrid rough sets and neural networks Int J Neural Syst 12 6 435 446 10.1142/S012906570200131X
9. Hassan Y, Tazaki E (2005) Emergent rough set data analysis. In: Peters JF (ed) Transactions on rough sets II: rough sets and fuzzy sets. Springer, Berlin, pp 343-361
10. R Li Z Wang 2004 Mining classification rules using rough sets and neural networks Eur J Oper Res 157 439 448 1106.68386 10.1016/S0377-2217(03)00422-3
11. Z Pawlak 2004 Some issues on rough sets Trans Rough Sets 1 1 58 2150576 10.1007/978-3-540-27794-1-1
12. Z Pawlak A Skowron 2007 Rough sets: some extensions Inf Sci 177 1 28 40 2272733 1142.68550 10.1016/j.ins.2006.06.006 (Pubitemid 44556699)
13. Sahoo D, Dulikravich G (2006) Evolutionary wavelet neural network for large scale function estimation in optimization. In: 11th AIAA/ISSMO multidisciplinary analysis and optimization conference, pp 55-69
14. A Subasi M Yilmaz H Ozcalik 2006 Classification of EMG signals using wavelet neural network J Neurosci Methods 156 360 367 10.1016/j.jneumeth.2006. 03.004 (Pubitemid 44233682)
15. K Thangavel A Pethalakshmi 2009 Dimensionality reduction based on rough set theory: a review Appl Soft Comput 9 1 12 10.1016/j.asoc.2008.05.006
16. J Wei 2003 Rough set based approach to selection of node Int J Comput Cogn 1 2 25 40
17. D Zhao X Fang S Sun J Wang Sh Gu 2006 Sims designing based on economic forecasting model with wavelet neural networks Int J Inf Syst Sci 2 1 67 74 1092.68712
18. W Zhu F Wang 2007 On three types of covering-based rough sets IEEE Trans Knowl Data Eng 19 8 1131 1144 10.1109/TKDE.2007.1044 (Pubitemid 47000348)