메뉴 건너뛰기




Volumn 1606, Issue , 1999, Pages 756-765

Supervised ART-I: A new neural network architecture for learning and classifying multi-valued input patterns

Author keywords

ART; Classification; Neural network; Supervised ART; Supervised learning

Indexed keywords

ARTS COMPUTING; CLASSIFICATION (OF INFORMATION); NEURAL NETWORKS; SUPERVISED LEARNING;

EID: 23044519243     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/BFb0098234     Document Type: Conference Paper
Times cited : (2)

References (16)
  • 1
    • 0031098234 scopus 로고    scopus 로고
    • ART neural networks for remote sensing: Vegetation classification from landsat TM and terrain data
    • Carpenter, G. A., Gaja, M. N., Gapa, S., and Woodcok, C. E., 1997, “ART neural networks for remote sensing: vegetation classification from landsat TM and terrain data”, IEEE Trans. Geosci. Remote Sensing, Vol. 35, pp. 308-325.
    • (1997) IEEE Trans. Geosci. Remote Sensing , vol.35 , pp. 308-325
    • Carpenter, G.1    Gaja, A.M.N.2    Gapa, S.3    Woodcok, C.E.4
  • 2
    • 0025889915 scopus 로고
    • ARTMAP: Supervised real-time learning and classification of nonstationary data by self-organizing neural network
    • Carpentar, G. A., Grossberg, S., and Renold, J. H., 1991, “ARTMAP: Supervised real-time learning and classification of nonstationary data by self-organizing neural network,” Neural Network, Vol. 4, pp: 565-588.
    • (1991) Neural Network , vol.4 , pp. 565-588
    • Carpentar, G.A.1    Grossberg, S.2    Renold, J.H.3
  • 3
    • 0028498931 scopus 로고
    • A dynamic learning neural network for remote sensing applications
    • Tzeng, Y. C., Chen, K. S., Kao, W. L., and Fung, A. K., 1994, “A dynamic learning neural network for remote sensing applications,” IEEE Trans. Geosci. Remote Sensing, Vol. 32, pp: 1096-1102.
    • (1994) IEEE Trans.Geosci. Remote Sensing , vol.32 , pp. 1096-1102
    • Tzeng, Y.C.1    Chen, K.S.2    Kao, W.L.3    Fung, A.K.4
  • 4
    • 0027595914 scopus 로고
    • Classification of multispectral image data by the binary diamond neural network and by non parameteric, pixil-by-pixel methods
    • Salv, Y., and Tilton, J., 1993, “Classification of multispectral image data by the binary diamond neural network and by non parameteric, pixil-by-pixel methods,” IEEE Trans. Geosci. Remote Sensing, Vol. 31, pp:606-617.
    • (1993) IEEE Trans. Geosci. Remote Sensing , vol.31 , pp. 606-617
    • Salv, Y.1    Tilton, J.2
  • 5
    • 0025453627 scopus 로고
    • Neural network approaches versus statistical methodes in classification of multisource remote sensing data
    • Benediktsson, J. A., Swain, P. H., and Ersoy, O. K., 1990, “Neural network approaches versus statistical methodes in classification of multisource remote sensing data,” IEEE Trans. Geosci. Remote Sensing, Vol. 28, pp: 540-552.
    • (1990) IEEE Trans. Geosci. Remote Sensing , vol.28 , pp. 540-552
    • Benediktsson, J.A.1    Swain, P.H.2    Ersoy, O.K.3
  • 6
    • 0026923589 scopus 로고
    • FUZZY ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps
    • Carpenter, G. A., Grossberg, S., Markuzan, N., Reynold, J. H., and Rosen, D. B., 1992 “FUZZY ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps,” IEEE Trans. On Neural Network, Vol. 3, pp: 698-882.
    • (1992) IEEE Trans. On Neural Network , vol.3 , pp. 698-882
    • Carpenter, G.A.1    Grossberg, S.2    Markuzan, N.3    Reynold, J.H.4    Rosen, D.B.5
  • 8
    • 0026869462 scopus 로고
    • A new art-based neural architecture for pattern classification and image enhancement without prior knoweldge
    • Shih, F. X., Moh, J., and Chang, F., 1992, “A new art-based neural architecture for pattern classification and image enhancement without prior knoweldge,” Pattern Recog., Vol. 25, pp: 533-542.
    • (1992) Pattern Recog , vol.25 , pp. 533-542
    • Shih, F.X.1    Moh, J.2    Chang, F.3
  • 9
    • 0026638473 scopus 로고
    • Object recognition using invariant object bounddary representations and nueral network models
    • Bebis, G. N., and Papadourakis G. M., 1992, “ Object recognition using invariant object bounddary representations and nueral network models,” Pattern Recog., Vol. 25, pp: 25-44.
    • (1992) Pattern Recog , vol.25 , pp. 25-44
    • Bebis, G.N.1    Papadourakis, G.M.2
  • 10
    • 0029273524 scopus 로고
    • A neural network for unsupervised categorization for multivalued input patterns. An application to satellite image clustering
    • Baraldi, A., and Parmiggiani, F., 1995, “A neural network for unsupervised categorization for multivalued input patterns. An application to satellite image clustering,” IEEE Trans. Geosci. Remote Sensing, Vol. 33, pp: 305-316.
    • (1995) IEEE Trans. Geosci. Remote Sensing , vol.33 , pp. 305-316
    • Baraldi, A.1    Parmiggiani, F.2
  • 11
    • 0000473841 scopus 로고
    • ARTI and patterns clustering
    • D. Touretzky, G. Hintoon, and T. Sejnowski, Eds, San Mateo, CA: Morgan Kaufmann
    • Moore, B., 1989, “ARTI and patterns clustering,” in proc. 1988 connectionist models Summer School, D. Touretzky, G. Hintoon, and T. Sejnowski, Eds, San Mateo, CA: Morgan Kaufmann, pp: 174-185.
    • (1989) Proc. 1988 Connectionist Models Summer School , pp. 174-185
    • Moore, B.1
  • 12
    • 0026408256 scopus 로고
    • Fuzzt ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system
    • Carpenter, G. A., Grossberg, S., and Rosen, D. B., 1991, “Fuzzt ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system,” Neural Networks, Vol. 4, pp: 759-771.
    • (1991) Neural Networks , vol.4 , pp. 759-777
    • Carpenter, G.A.1    Grossberg, S.2    Rosen, D.B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.