메뉴 건너뛰기




Volumn 139, Issue 2, 2009, Pages 280-286

A novel feature selection technique for number classification problem using PNN-A plausible scheme for boiler flue gas analysis

Author keywords

Arithmetic residues; Boiler flue gas; Feature selection; Number classification

Indexed keywords

ARITHMETIC RESIDUES; BRANCH AND BOUNDS; CLASSIFICATION OF DATA; DATA ANALYSIS; FEATURE SELECTION; INDUSTRIAL PROBLEM; NUMBER CLASSIFICATION; PROBABILISTIC NEURAL NETWORKS; SELECTION TECHNIQUES; SEQUENTIAL SEARCH;

EID: 67349109383     PISSN: 09254005     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.snb.2009.02.015     Document Type: Article
Times cited : (8)

References (26)
  • 2
    • 0026120032 scopus 로고
    • Small sample size effects in statistical pattern recognition: recommendations for practitioners
    • Raudys S.J., and Jain A.K. Small sample size effects in statistical pattern recognition: recommendations for practitioners. IEEE Transactions on Pattern Analysis and Machine Intelligence 13 3 (1991) 252-264
    • (1991) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.13 , Issue.3 , pp. 252-264
    • Raudys, S.J.1    Jain, A.K.2
  • 4
    • 0032925389 scopus 로고    scopus 로고
    • Using neural networks and genetic algorithms to enhance performance in an electronic nose
    • Kermani B., Schiffmanand S., and Nagle H. Using neural networks and genetic algorithms to enhance performance in an electronic nose. IEEE Transaction on Biomedical Engineering 46 4 (1999) 429-439
    • (1999) IEEE Transaction on Biomedical Engineering , vol.46 , Issue.4 , pp. 429-439
    • Kermani, B.1    Schiffmanand, S.2    Nagle, H.3
  • 7
    • 84879799188 scopus 로고
    • Estimation of error rates in discriminant analysis
    • Lachenbruch P.A., and Mickey R.M. Estimation of error rates in discriminant analysis. Technometrics 10 (1968) 1-11
    • (1968) Technometrics , vol.10 , pp. 1-11
    • Lachenbruch, P.A.1    Mickey, R.M.2
  • 8
    • 85115260483 scopus 로고
    • Floating search methods for feature selection with non monotonic criterion functions
    • 1051-4651/94
    • Pudil P., Ferri F.J., Novovicova J., and Kittler J. Floating search methods for feature selection with non monotonic criterion functions. IEEE Transactions (1994) 279-283 1051-4651/94
    • (1994) IEEE Transactions , pp. 279-283
    • Pudil, P.1    Ferri, F.J.2    Novovicova, J.3    Kittler, J.4
  • 14
    • 0019226255 scopus 로고
    • On the dominance of non-parametric Bayes rule discriminant algorithms in high dimensions
    • Van Ness J. On the dominance of non-parametric Bayes rule discriminant algorithms in high dimensions. Pattern Recognition 12 (1980) 355-368
    • (1980) Pattern Recognition , vol.12 , pp. 355-368
    • Van Ness, J.1
  • 15
    • 0002649659 scopus 로고    scopus 로고
    • Novel methods for subset selection with respect to problem knowledge
    • Pudil P., and Novovicova J. Novel methods for subset selection with respect to problem knowledge. IEEE Intelligent Systems 13 2 (1998) 66-74
    • (1998) IEEE Intelligent Systems , vol.13 , Issue.2 , pp. 66-74
    • Pudil, P.1    Novovicova, J.2
  • 18
    • 0025399335 scopus 로고
    • Probabilistic neural network and the polynomial Adaline as complementary techniques for classification
    • Specht D.F. Probabilistic neural network and the polynomial Adaline as complementary techniques for classification. IEEE Transaction on Neural Network 1 1 (1990) 111-121
    • (1990) IEEE Transaction on Neural Network , vol.1 , Issue.1 , pp. 111-121
    • Specht, D.F.1
  • 19
    • 67349193183 scopus 로고    scopus 로고
    • D. Ververidis, C. Kotropoulos, Sequential Forward Feature Selection with Low Computational Cost, FP6 European Union Network of Excellence MUSCLE (Multimedia Understanding through Semantics, Computation and Learning) (FP6-507752) (2005), weblink: www.eurasip.org/Proceedings/Eusipco/Eusipco2005/defevent/papers/cr1411.pdf.
    • D. Ververidis, C. Kotropoulos, Sequential Forward Feature Selection with Low Computational Cost, FP6 European Union Network of Excellence MUSCLE (Multimedia Understanding through Semantics, Computation and Learning) (FP6-507752) (2005), weblink: www.eurasip.org/Proceedings/Eusipco/Eusipco2005/defevent/papers/cr1411.pdf.
  • 21
    • 34250707270 scopus 로고    scopus 로고
    • Genetic algorithm based feature selection method development for pattern recognition
    • Bexco, Busan, Korea, October 18-21
    • Kim H.-D., Park C.-H., et al. Genetic algorithm based feature selection method development for pattern recognition. Proceedings of SICE-ICASE International Joint Conference. Bexco, Busan, Korea, October 18-21 (2006) 1020-1025
    • (2006) Proceedings of SICE-ICASE International Joint Conference , pp. 1020-1025
    • Kim, H.-D.1    Park, C.-H.2
  • 22
    • 67349194914 scopus 로고    scopus 로고
    • KANE 900 Plus Operators Manual, Kane International Limited, U.K., 2008.
    • KANE 900 Plus Operators Manual, Kane International Limited, U.K., 2008.
  • 25
    • 0024123401 scopus 로고    scopus 로고
    • Probabilistic neural network for classification, mapping or associative memory
    • Specht D.F. Probabilistic neural network for classification, mapping or associative memory. IEEE Conference on Neural Networks 1 1 (1998) 525-532
    • (1998) IEEE Conference on Neural Networks , vol.1 , Issue.1 , pp. 525-532
    • Specht, D.F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.