메뉴 건너뛰기




Volumn 16, Issue 3, 2004, Pages 145-160

IBR retrieval method based on topology preserving mappings

Author keywords

Case based reasoning systems; Clustering; Topology preserving mappings

Indexed keywords

ALGORITHMS; LEARNING SYSTEMS; MAPS; MAXIMUM LIKELIHOOD ESTIMATION; NEURAL NETWORKS; REAL TIME SYSTEMS;

EID: 4644361128     PISSN: 0952813X     EISSN: None     Source Type: Journal    
DOI: 10.1080/09528130410001726975     Document Type: Article
Times cited : (8)

References (31)
  • 1
    • 0028401306 scopus 로고
    • Case-based reasoning: Foundational issues, methodological variations, and system approaches
    • Aamodt, A., and Plaza, E., 1994, Case-based reasoning: foundational issues, methodological variations, and system approaches. AICOM, 7(1): 39-59.
    • (1994) AICOM , vol.7 , Issue.1 , pp. 39-59
    • Aamodt, A.1    Plaza, E.2
  • 3
    • 0012757383 scopus 로고    scopus 로고
    • A hybrid case-based model for forecasting
    • Corchado, J. M., and Lees, B., 2001, A hybrid case-based model for forecasting. Applied Artificial Intelligence. 15(2): 105-127.
    • (2001) Applied Artificial Intelligence , vol.15 , Issue.2 , pp. 105-127
    • Corchado, J.M.1    Lees, B.2
  • 6
    • 84947572967 scopus 로고    scopus 로고
    • Maximum and minimum likelihood Hebbian learning for exploratory projection pursuit
    • in press
    • Corchado, E. S., MacDonald, D., and Fyfe, C., 2003a, Maximum and minimum likelihood Hebbian learning for exploratory projection pursuit. Data Mining and Knowledge Discovery, in press.
    • (2003) Data Mining and Knowledge Discovery
    • Corchado, E.S.1    MacDonald, D.2    Fyfe, C.3
  • 8
    • 0036881060 scopus 로고    scopus 로고
    • Hybrid artificial intelligence methods in oceanographic forecasting models
    • Corchado, J. M., and Aiken, J., 2003, Hybrid artificial intelligence methods in oceanographic forecasting models. IEEE SMC Transactions Part C, 32(4): 307-313.
    • (2003) IEEE SMC Transactions Part C , vol.32 , Issue.4 , pp. 307-313
    • Corchado, J.M.1    Aiken, J.2
  • 11
    • 0001493668 scopus 로고
    • Asymptotics of graphical projections
    • Diaconis, P., and Freedman, D., 1984, Asymptotics of graphical projections. The Annals of Statistics, 12(3): 793-815.
    • (1984) The Annals of Statistics , vol.12 , Issue.3 , pp. 793-815
    • Diaconis, P.1    Freedman, D.2
  • 12
    • 0000006342 scopus 로고
    • Non-linear data structure extraction using simple Hebbian networks
    • Fyfe, C., and Baddeley, R., 1995, Non-linear data structure extraction using simple Hebbian networks. Biological Cybernetics, 72(6): 533-541.
    • (1995) Biological Cybernetics , vol.72 , Issue.6 , pp. 533-541
    • Fyfe, C.1    Baddeley, R.2
  • 15
    • 0035306495 scopus 로고    scopus 로고
    • Automating the construction of CBR systems using kernel methods
    • Fyfe, C., and Corchado, J. M., 2001, Automating the construction of CBR systems using kernel methods. International Journal of Intelligent Systems, 16(4): 571-586.
    • (2001) International Journal of Intelligent Systems , vol.16 , Issue.4 , pp. 571-586
    • Fyfe, C.1    Corchado, J.M.2
  • 16
    • 0036707122 scopus 로고    scopus 로고
    • ε-Insensitive Hebbian learning
    • Fyfe, C., and MacDonald, D., 2001, ε-Insensitive Hebbian learning. Neuro Computing, 47(1-4): 35-57.
    • (2001) Neuro Computing , vol.47 , Issue.1-4 , pp. 35-57
    • Fyfe, C.1    MacDonald, D.2
  • 17
    • 4644343524 scopus 로고    scopus 로고
    • A scale invariant map network
    • Fyfe, C., 1996, A scale invariant map network. Computation in Neural Systems, 7: 269-275.
    • (1996) Computation in Neural Systems , vol.7 , pp. 269-275
    • Fyfe, C.1
  • 19
    • 18044403793 scopus 로고    scopus 로고
    • Complexity pursuit: Separating interesting components from time series
    • Hyvärinen, A., 2001, Complexity pursuit: separating interesting components from time series. Neural Computation, 13: 883-898.
    • (2001) Neural Computation , vol.13 , pp. 883-898
    • Hyvärinen, A.1
  • 20
    • 0028272776 scopus 로고
    • Representation and separation of signals using non-linear PCA type learning
    • Karhunen, J., and Joutsensalo, J., 1994, Representation and separation of signals using non-linear PCA type learning. Neural Networks, 7: 113-127.
    • (1994) Neural Networks , vol.7 , pp. 113-127
    • Karhunen, J.1    Joutsensalo, J.2
  • 24
    • 84901705693 scopus 로고    scopus 로고
    • Integrated case-based approach to problem solving
    • F. Puppe (ed.). LNAI 1570 (Berlin: Springer)
    • Lees, B., and Corchado, J. M., 1999, Integrated case-based approach to problem solving. In F. Puppe (ed.) Knowledge-based Systems-Survey and Future Directions. LNAI 1570 (Berlin: Springer), pp. 157-166.
    • (1999) Knowledge-based Systems-survey and Future Directions , pp. 157-166
    • Lees, B.1    Corchado, J.M.2
  • 26
    • 0002399288 scopus 로고
    • Neural networks, principal components and subspaces
    • Oja, E., 1989, Neural networks, principal components and subspaces. International Journal of Neural Systems, 1: 61-68.
    • (1989) International Journal of Neural Systems , vol.1 , pp. 61-68
    • Oja, E.1
  • 27
    • 0001387410 scopus 로고
    • Principal components analysis by homogeneous neural networks, part 1, the weighted subspace criterion
    • Oja, E., Ogawa, H., and Wangviwattana, J., 1992, Principal components analysis by homogeneous neural networks, part 1, the weighted subspace criterion. IEICE Transaction on Information and Systems, E75D: 366-375.
    • (1992) IEICE Transaction on Information and Systems , vol.E75D , pp. 366-375
    • Oja, E.1    Ogawa, H.2    Wangviwattana, J.3
  • 31
    • 0027206958 scopus 로고
    • Least mean square error reconstruction for self-organizing nets
    • Xu, L., 1993, Least mean square error reconstruction for self-organizing nets. Neural Networks, 6: 627-648.
    • (1993) Neural Networks , vol.6 , pp. 627-648
    • Xu, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.