Clustered-Hybrid Multilayer Perceptron network for pattern recognition application

Applied Soft Computing Journal

Volumn 11, Issue 1, 2011, Pages 1457-1466

  Mat Isa, Nor Ashidi ^a   Mamat, Wan Mohd Fahmi Wan ^a  

^a SCHOOL OF PHYSICS   (Malaysia)

Author keywords

Clustered Hybrid Multilayer Perceptron network; Clustered Modified Recursive Prediction Error; Clustering Algorithm; Neural network; Pattern Recognition; Radial Basis Function

Indexed keywords

AGGREGATE SHAPE; BENCHMARK DATASETS; HYBRID MULTILAYERS; IDENTIFICATION SYSTEMS; LUNG CANCER; MACHINE LEARNING REPOSITORY; MODIFIED MODEL; PIMA INDIAN DIABETES; RADIAL BASIS FUNCTIONS; RECURSIVE PREDICTION; TRAINING ALGORITHMS; TRANSFORMER FAULT DIAGNOSIS SYSTEMS; UNIVERSITY OF CALIFORNIA;

ATTITUDE CONTROL; CLASSIFIERS; CLUSTERING ALGORITHMS; EVOLUTIONARY ALGORITHMS; FORECASTING; IONOSPHERE; LEARNING ALGORITHMS; MULTILAYERS; NEURAL NETWORKS; PATTERN RECOGNITION; RADIAL BASIS FUNCTION NETWORKS; RECURSIVE FUNCTIONS; WINE;

NETWORK ARCHITECTURE;

EID: 77957899139     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2010.04.017     Document Type: Article

References (51)

1. Ozgrid Business Applications, Neuro Classifier is Neural Network Software for Classifying Data in Microsoft Excel, Available from http://www.ozgrid.com/ Services/neuro-excel-classifier.htm.
2. R.D.S. Chathura, R. Surendra, and Liyanage C. De Silva Cloud basis function neural network: a modified RBF network architecture for holistic facial expression recognition Pattern Recognition 41 4 2008 1241 1253
3. S.Y. Lung Efficient text independent speaker recognition with wavelet feature selection based multilayered neural network using supervised learning algorithm Pattern Recognition 40 12 2007 3616 3620
4. K. Sadik, and O. Mustafa Atrial fibrillation classification with artificial neural networks Pattern Recognition 40 11 2007 2967 2973
5. S. Haykin, and Neural Network: A Comprehensive Foundation 1994 Prentice Hall NJ
6. P. Aajay Dual network and their pattern classification properties Proceedings of the IEEE Computer Society Conference 1991 686 687
7. S.A. Billings, H.L. Wei, and A. Balikhin Generalized multiscale radial basis function networks Neural Network 20 2007 1081 1094
8. M.Y. Mashor Some properties of RBF network with applications to system identification International Journal of the Computer, the Internet and Management 7 1 1999 34 71
9. H. Gieger Storing and processing information in connectionist system R. Eckmiller, Advance Neural Computers 1990 North-Holland Amsterdam 271 277
10. T. Poggio, and F. Girosi Network for approximation and learning Proceeding of IEEE 78 9 1990 1481 1497
11. W.S. Sarle Neural networks and statistical models Proceedings of the Nineteenth Annual SAS Users Group International Conference 1994 SAS Institute Inc. Cary, NC 1533 1550
12. M.Y. Mashor, System identification using radial basis function network, Ph.D. Thesis, University of Sheffield, UK, 1995.
13. S.A. Billings, and C.F. Fung Recurrent radial basis function network for adaptive noise cancellation Neural Network 8 2 1995 273 290
14. M.Y. Mashor Modified recursive prediction error algorithm for training layered neural network International Journal of the Computer, the Internet and Management 11 2 2003 29 36
15. M.Y. Mashor Hybrid multilayer perceptron networks International Journal of Systems Sciences 31 6 2000 771 785
16. G. Cybenko Approximations by superposition of a sigmoidal function Mathematics of Control, Signals and Systems 2 1989 303 314
17. K. Funashashi On the approximation realization on continuous mappings by neural networks Neural Network 2 1989 182 192
18. P.J. Werbos, Beyond regression: new tools for prediction and analysis in the behavioral sciences, Ph.D. Thesis, Harvard University, 1974.
19. D.E. Rumelhart, and J.L. McCleland Parallels Distributed Processing: Explorations in The Microstructure of Recognition, I & I 1986 MIT Press Cambridge, MA
20. M.Y. Mashor Performance comparison between back propagation, RPE and MRPE algorithms for training MLP networks International Journal of the Computer, the Internet and Management 8 3 2000 65 79
21. L. Ljung, and T. Soderstrom Theory and Practice of Recursive Identification 1983 MIT Press Cambridge, MA
22. S. Chen, S.A. Billings, and P.M. Grant Recursive hybrid algorithm for non-linear system identification using radial basis function networks International Journal of Control 55 1992 1051 1070
23. C.M. Bishop Neural Networks for Pattern Recognition 1995 Oxford University Press Oxford, UK
24. V. Cherkassky, and F. Mulier Learning From Data: Concepts, Theory, and Methods 1998 Wiley Interscience
25. J. Gonzalez, I. Rojas, J. Ortega, H. Pomares, J. Fernandez, and A.F. Diaz Multiobjective evolutionary optimization of the size, shape, and position parameters of radial basis function networks for function approximation IEEE Transactions on Neural Networks 14 6 2003 1478 1495
26. M.Y. Mashor Hybrid training algorithm for RBF network International Journal of the Computer, the Internet and Management 8 2 2000 50 65
27. C. Darken, and J. Moody Fast adaptive K-means clustering: some empirical result International Joint Conference on Neural Networks 2 1990 233 238
28. M.Y. Mashor Supervised hybrid training algorithm for RBF network International Journal of the Computer, the Internet and Management 6 3 1998 13 27
29. N.A. Mat-Isa, M.Y. Mahor, and N.H. Othman Comparison of segmentation performance of clustering algorithm for Pap smear images Proceeding of the International Conference Robotic, Vision, Information and Signal Processing 2003 118 125
30. UC Irvine Machine Learning Repository, Availabe from http://www.ics.uci. edu/∼mlearn/MLRepository.html.
31. A. Hoang, Supervised classifier performance on the UCI database, B.Sc. Thesis, University of Adelaide, 1997.
32. P. Eklund, and A. Hoang A performance survey of public domain supervised machine learning algorithms Australian Journal of Intelligent Information Systems 9 1 2006 1 47
33. P. Ganarski, A. Blansché, and A. Wania Comparison between two coevolutionary feature weighting algorithms in clustering Pattern Recognition 41 3 2008 983 994
34. Y. Zeng, Y. Yang, and Zhao L Pseudo nearest neighbor rule for pattern classification Expert Systems with Applications 36 2, Part 2 2009 3587 3595
35. T. Feyzullah A comparative study on thyroid disease diagnosis using neural networks Expert Systems with Applications 36 1 2009 944 949
36. H. Kahramanli, and N. Allahverdi Design of a hybrid system for the diabetes and heart diseases Expert Systems with Applications 35 1-2 2008 82 89
37. H. Kodaz, S. Özen, A. Arslan, and Güne S S Medical application of information gain based artificial immune recognition system (AIRS): diagnosis of thyroid disease Expert Systems with Applications 36 2, Part 2 2009 3086 3092
38. T. Mitchell Machine Learning 1997 McGraw-Hill
39. M. Mohamadi, J. Habibi, M.A. Abadeh, and H. Saadi Data mining with a simulated annealing based fuzzy classification system Pattern Recognition 41 5 2008 1824 1833
40. S.K. Murthy, S. Kasif, and S. Salzberg A system for induction of oblique decision trees Journal of Artificial Intelligence Research (JAIR) 2 1994 1 32
41. Kachigan Statistical Analysis: An Interdisciplinary Introduction to Univariate & Multivariate Methods 1986 Radius Press New York
42. N.A. Mat-Isa, M.Y. Mashor, and N.H. Othman An automated cervical cancer pre-cancerous diagnostic system Artificial Intelligence in Medicine 42 1 2008 1 11
43. N.A. Mat-Isa, M.S. Al-Batah, K.Z. Zamli, K.A. Azizli, A. Joret, and N.R. Mat-Noor Suitable features selection for the HMLP and MLP networks to identify the shape of aggregate Construction and Building Materials 22 3 2008 402 410
44. A.M. Zoubir, and D.R. Iskander Bootstrap Techniques for Signal Processing 2004
45. A. Quteishat, and C.P. Lim A modified fuzzy min-max neural network with rule extraction and its application to fault detection and classification Applied Soft Computing 8 2 2008 985 995
46. Y.J. Sun, S. Zhang, C.X. Miao, and J.M. Li Improved BP neural network for transformer fault diagnosis Journal of China University of Mining and Technology 17 1 2007 138 142
47. C.P. Hung, and M.H. Wang Diagnosis of incipient faults in power transformers using CMAC neural network approach Electric Power Systems Research 71 3 2004 235 244
48. B. Hudson Manufactures Sand-Destroying Some Myths QUARry 5 11 1997 57 64
49. M.S.R. Rajeswari, K.A. Azizli, and A.B. Md-Diah Studies on the production and properties of shaped aggregates from the vertical shaft impact crusher Proceedings of the Third International Conference on Recent Advances in Materials and Environment Penang, Malaysia 2003 192 197
50. M.S.R. Rajeswari, K.A. Azizli, A.B. Md-Diah, and K.B. Kamaruzzaman Production of high quality granite aggregates as a feedstock for high technology construction material Post Graduate Research Papers 2001/2002 2002 School of Materials and Mineral Resources Engineering, USM pp. 67-78
51. M.D. Hamer The Vertical Shaft Rock on Rock Impact Crusher as a Producer of Quality Construction Material 1991 Tidco International New Zealand