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Volumn 4224 LNCS, Issue , 2006, Pages 464-471

Improving the classification accuracy of RBF and MLP neural networks trained with imbalanced samples

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; LEARNING SYSTEMS; MULTILAYER NEURAL NETWORKS; SIGNAL FILTERING AND PREDICTION;

EID: 33750574322     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11875581_56     Document Type: Conference Paper
Times cited : (14)

References (13)
  • 1
    • 0027698884 scopus 로고
    • An improved algorithm for neural network classification of imbalanced training sets
    • R. Anand, K. G. Mehrotra, C. K. Mohan, and S. Ranka. An Improved Algorithm for Neural Network Classification of Imbalanced Training Sets. IEEE Transactions on Neural Networks, vol. 4, no. 6, (1993) 962-969.
    • (1993) IEEE Transactions on Neural Networks , vol.4 , Issue.6 , pp. 962-969
    • Anand, R.1    Mehrotra, K.G.2    Mohan, C.K.3    Ranka, S.4
  • 4
    • 34547973397 scopus 로고    scopus 로고
    • The imbalanced training sample problem: Under or over sampling?
    • Joint IAPR International Workshops on Structural, Syntactic, and Statistical Pattern Recognition (SSPR/SPR'04), Springer-Verlag 2004, Lisbon (Portugal)
    • R. Barandela, R.M. Valdovinos, J.S. Sánchez, F.J. Ferri. The imbalanced training sample problem: under or over sampling?. Joint IAPR International Workshops on Structural, Syntactic, and Statistical Pattern Recognition (SSPR/SPR'04). Lecture Notes in Computer Science 3138, Springer-Verlag 2004, Lisbon (Portugal), 2004, 806-814.
    • (2004) Lecture Notes in Computer Science , vol.3138 , pp. 806-814
    • Barandela, R.1    Valdovinos, R.M.2    Sánchez, J.S.3    Ferri, F.J.4
  • 5
    • 0033272085 scopus 로고    scopus 로고
    • The effect of misclassiflcation costs on neural network classifiers
    • V. L. Berardi, G. P. Zhang. The Effect of Misclassiflcation Costs on Neural Network Classifiers. Decision Sciences, vol. 30, no. 3, 1999, 659-682
    • (1999) Decision Sciences , vol.30 , Issue.3 , pp. 659-682
    • Berardi, V.L.1    Zhang, G.P.2
  • 6
    • 11244259262 scopus 로고    scopus 로고
    • From multilayer perceptrons to radial basis function networks: A comparative study
    • Singapore, 1-3 December
    • S.Q. Ding, C. Xiang. From multilayer perceptrons to radial basis function networks: a comparative study. IEEE. Conference on Cybernetics and Intelligent Systems, vol. 1, Singapore, 1-3 December, 2004, 69-74
    • (2004) IEEE. Conference on Cybernetics and Intelligent Systems , vol.1 , pp. 69-74
    • Ding, S.Q.1    Xiang, C.2
  • 10
    • 0001972236 scopus 로고    scopus 로고
    • Addressing the curse of imbalanced training set: One-sided selection
    • Nashville, USA
    • M. Kubat, S. Matwin. Addressing the curse of imbalanced training set: one-sided selection. 14th International Conference on Machine Learning, Nashville, USA, 1997, 179-186
    • (1997) 14th International Conference on Machine Learning , pp. 179-186
    • Kubat, M.1    Matwin, S.2
  • 13
    • 0035015680 scopus 로고    scopus 로고
    • Three learning phases for radial-basisfunction networks
    • May
    • F. Schwenker, H. A. Kestler, and G. Palm. Three learning phases for radial-basisfunction networks. Neural Networks, vol.14 no. 4-5, May 2001, 439-458
    • (2001) Neural Networks , vol.14 , Issue.4-5 , pp. 439-458
    • Schwenker, F.1    Kestler, H.A.2    Palm, G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.