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Volumn 23, Issue 3, 2009, Pages 348-357

A neural network classifier with rough set-based feature selection to classify multiclass IC package products

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ATTRIBUTE REDUCTION; CLASSIFIER MODELS; CONSTRUCTION DESIGN; DATA SETS; DESIGN AND APPLICATION; DESIGN METHOD; DIMENSIONAL MEASUREMENTS; FEATURE SELECTION; FEATURE SPACE; FEATURE VECTORS; GENERALIZATION ACCURACY; IC CHIPS; IC PACKAGE; LARGE DIMENSIONS; MULTI-CLASS; NEURAL NETWORK CLASSIFIER; PACKAGING TECHNOLOGIES; PRODUCT INFORMATION; ROUGH SET; TRAINING AND TESTING;

EID: 67649088036     PISSN: 14740346     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aei.2009.04.001     Document Type: Article
Times cited : (27)

References (41)
  • 2
    • 0031334221 scopus 로고    scopus 로고
    • Selection of relevant features and examples in machine learning
    • Blum A.L., and Langley P. Selection of relevant features and examples in machine learning. Artificial Intelligence 97 (1997) 245-271
    • (1997) Artificial Intelligence , vol.97 , pp. 245-271
    • Blum, A.L.1    Langley, P.2
  • 4
    • 33846817362 scopus 로고    scopus 로고
    • An intelligent hybrid system for wafer lot output time prediction
    • Chen T. An intelligent hybrid system for wafer lot output time prediction. Advanced Engineering Informatics 21 (2007) 55-65
    • (2007) Advanced Engineering Informatics , vol.21 , pp. 55-65
    • Chen, T.1
  • 5
    • 34250880786 scopus 로고    scopus 로고
    • A hybrid system for SPC concurrent pattern recognition
    • Chen Z., Lu S., and Lam S. A hybrid system for SPC concurrent pattern recognition. Advanced Engineering Informatics 21 (2007) 303-310
    • (2007) Advanced Engineering Informatics , vol.21 , pp. 303-310
    • Chen, Z.1    Lu, S.2    Lam, S.3
  • 9
    • 84859538514 scopus 로고    scopus 로고
    • Available from
    • R. Crowley, 1999. Available from: .
    • (1999)
    • Crowley, R.1
  • 10
    • 67649084156 scopus 로고    scopus 로고
    • Z. Cui, B. Xu, W. Zhang, D. Jiang, J. Xu, CLDA: feature selection for text categorization based on constrained LDA. Semantic computing, in: ICSC 2007, 2007, pp. 702-712.
    • Z. Cui, B. Xu, W. Zhang, D. Jiang, J. Xu, CLDA: feature selection for text categorization based on constrained LDA. Semantic computing, in: ICSC 2007, 2007, pp. 702-712.
  • 13
    • 34249054107 scopus 로고    scopus 로고
    • Combining radial basis function neural network and genetic algorithm to improve HDD driver IC chip scale package assembly yield
    • Huang M.L., and Hung Y.H. Combining radial basis function neural network and genetic algorithm to improve HDD driver IC chip scale package assembly yield. Expert Systems with Applications 34 1 (2008) 588-595
    • (2008) Expert Systems with Applications , vol.34 , Issue.1 , pp. 588-595
    • Huang, M.L.1    Hung, Y.H.2
  • 14
    • 84859548494 scopus 로고    scopus 로고
    • National Chin-Yi University of Technology, Department of Department of Industrial Engineering and Management
    • Y.H. Hung, The IC package product type dataset, http://blog.ncut.edu.tw/meworksv2a/meworks/page1.aspx?no=2763, National Chin-Yi University of Technology, Department of Department of Industrial Engineering and Management, 2008.
    • (2008) The IC package product type dataset
    • Hung, Y.H.1
  • 15
    • 0348170835 scopus 로고    scopus 로고
    • Fuzzy-rough attribute reduction with application to web categorization
    • Jensen R., and Shen Q. Fuzzy-rough attribute reduction with application to web categorization. Fuzzy Sets and Systems 141 3 (2004) 469-485
    • (2004) Fuzzy Sets and Systems , vol.141 , Issue.3 , pp. 469-485
    • Jensen, R.1    Shen, Q.2
  • 16
    • 0016349356 scopus 로고
    • Approximation algorithms for combinatorial problems
    • Johnson D.S. Approximation algorithms for combinatorial problems. Journal of Computer and System Sciences 9 (1974) 256-278
    • (1974) Journal of Computer and System Sciences , vol.9 , pp. 256-278
    • Johnson, D.S.1
  • 18
    • 0022848955 scopus 로고
    • Feature selection and extraction
    • Young T.Y., and Fu K.S. (Eds), Academic Press, San Diego
    • Kittler J. Feature selection and extraction. In: Young T.Y., and Fu K.S. (Eds). Handbook of Pattern Recognition and Image Processing (1986), Academic Press, San Diego 59-83
    • (1986) Handbook of Pattern Recognition and Image Processing , pp. 59-83
    • Kittler, J.1
  • 19
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • Kohavi R., and John G.H. Wrappers for feature subset selection. Artificial Intelligence 97 1-2 (1997) 273-324
    • (1997) Artificial Intelligence , vol.97 , Issue.1-2 , pp. 273-324
    • Kohavi, R.1    John, G.H.2
  • 21
    • 0037061520 scopus 로고    scopus 로고
    • Cluster analysis in industrial market segmentation through artificial neural network
    • Kuo R.J., Ho L.M., and Hu C.M. Cluster analysis in industrial market segmentation through artificial neural network. Computers & Industrial Engineering 42 2-4 (2002) 391-399
    • (2002) Computers & Industrial Engineering , vol.42 , Issue.2-4 , pp. 391-399
    • Kuo, R.J.1    Ho, L.M.2    Hu, C.M.3
  • 24
    • 0035336996 scopus 로고    scopus 로고
    • Information theoretic algorithm for feature selection
    • Last M., Kandel A., and Maimon O. Information theoretic algorithm for feature selection. Pattern Recognition Letters 22 6 (2001) 799-811
    • (2001) Pattern Recognition Letters , vol.22 , Issue.6 , pp. 799-811
    • Last, M.1    Kandel, A.2    Maimon, O.3
  • 25
    • 2042476687 scopus 로고    scopus 로고
    • Mining classification rules using rough sets and neural networks
    • Li R., and Wong Z. Mining classification rules using rough sets and neural networks. European Journal of Operational Research 157 (2004) 439-448
    • (2004) European Journal of Operational Research , vol.157 , pp. 439-448
    • Li, R.1    Wong, Z.2
  • 28
    • 57149114407 scopus 로고    scopus 로고
    • home, Norwegian University of Science and Technology, Department of Computer and Information Science
    • A. Øhrn, The ROSETTA homepage (http://rosetta.lcb.uu.se/), Norwegian University of Science and Technology, Department of Computer and Information Science, 2000.
    • (2000) The ROSETTA
    • Øhrn, A.1
  • 29
    • 50249163869 scopus 로고    scopus 로고
    • Distance measure assisted rough set feature selection
    • IEEE International, July
    • N.M. Parthalain, Q. Shen, R. Jensen, Distance measure assisted rough set feature selection, in: Fuzzy Systems Conference, FUZZ-IEEE 2007, IEEE International, July 2007, pp. 1-6.
    • (2007) Fuzzy Systems Conference, FUZZ-IEEE , pp. 1-6
    • Parthalain, N.M.1    Shen, Q.2    Jensen, R.3
  • 34
    • 67649112461 scopus 로고    scopus 로고
    • Rough neurons: Petri net models and applications
    • Polkowski L., Pal S.K., and Skowron A. (Eds), Springer-Verlag New York, Secaucus, NJ
    • Peters J.F., Ramanna S., Suraj Z., and Borkowski M. Rough neurons: Petri net models and applications. In: Polkowski L., Pal S.K., and Skowron A. (Eds). Rough-Neuro-Computing: Techniques for Computing with Words (2002), Springer-Verlag New York, Secaucus, NJ 474-493
    • (2002) Rough-Neuro-Computing: Techniques for Computing with Words , pp. 474-493
    • Peters, J.F.1    Ramanna, S.2    Suraj, Z.3    Borkowski, M.4
  • 35
    • 67649124763 scopus 로고    scopus 로고
    • Advanced Interconnect Technologies
    • G. Phipps, Selecting the best package for your design (http://www.ecnasiamag.com/article-12997-selectingthebestpackageforyourd esign-Asia.html), Advanced Interconnect Technologies, 2007.
    • (2007) Selecting the best package for your design
    • Phipps, G.1
  • 37
    • 0034207737 scopus 로고    scopus 로고
    • A modular approaches to generating fuzzy rules with reduced attributes for the monitoring of complex system
    • Shen Q., and Chouchoulas A. A modular approaches to generating fuzzy rules with reduced attributes for the monitoring of complex system. Engineering Applications of Artificial Intelligence 13 3 (2000) 263-278
    • (2000) Engineering Applications of Artificial Intelligence , vol.13 , Issue.3 , pp. 263-278
    • Shen, Q.1    Chouchoulas, A.2
  • 38
    • 0038341737 scopus 로고    scopus 로고
    • Optimizing the IC wire bonding process using a neural networks/genetic algorithms approach
    • Su C.T., and Chiang T.L. Optimizing the IC wire bonding process using a neural networks/genetic algorithms approach. Journal of Intelligent Manufacturing 14 (2003) 229-238
    • (2003) Journal of Intelligent Manufacturing , vol.14 , pp. 229-238
    • Su, C.T.1    Chiang, T.L.2
  • 39
    • 38349051578 scopus 로고    scopus 로고
    • Application of clustering for feature selection based on rough set theory approach
    • Thangavel K., Shen Q., and Pethalakshmi A. Application of clustering for feature selection based on rough set theory approach. AIML Journal 6 1 (2006) 19-27
    • (2006) AIML Journal , vol.6 , Issue.1 , pp. 19-27
    • Thangavel, K.1    Shen, Q.2    Pethalakshmi, A.3


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