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  • Aleksander, I. and Morton, H., 1990. An introduction to Neural Computing , 1st edition, Chapman & Hill, Great Britain.

  • Japan Forest Technical Association, 1994. Activity Report of Wide area Tropical Forest Resources Survey (Cambodia). Information System Development Project for the Management of Tropical Forest.

  • Japan Forest Technical Association, 1995. The whole of Cambodia Forest Register. Information System Development Project for the Management of Tropical Forest.

  • Kinoshita, J. and Palevsky, N., 1987. Computing with Neural Networks. High Technology, pp. 24-31.

  • Kohonen, T., 1982. Analysis of a simple Self-Organizing Process. Biological Cybernetics.

  • Kohonen, T., 1988. An Introduction to Neural Computing. Neural Networks, Vol. 1, pp. 3-16.

  • Kohonen, T., 1989. Self-Organization & Associative Memory. Spinger Verlag, Hiedelberg, Germany.

  • Kohonen, T., 1990. The Self Organizing Map. IEEE Proceedings, Sep 1988, Vol. 78, No 9, pp. 1464-1480.

  • Kohonen, T., 1990. Statistical Patterns Revisited. Advanced Neural Computers, Elsiver Science Publishers, North-Holland.

  • Kohonen, T., et al., 1995. SOM_PAK The Self-Organizing Map Program Package. SOM Programming Team of the Helsinki University of Technology.

  • Kohonen, T. and Ritter, H., 1989. Self-Organizing Semantic Maps. Biological Cybernetics.

  • Lippman, R., 1987. An Introduction to computing with Neural Nets. IEEE Acoustics, Signal and Speech Processing Magazine, pp. 4-22.

  • Macord, M. and Illingworth, W., 1991. A Practical Guide to Neural Nets. Addison Wesley company, Inc.

  • Murtagh, F. and Hernandez-Pajares, M., 1994. Clustering Moderately sized Data sets using Kohonen Map Approach. Technical Paper of the European Science Agency.

  • Murtagh, F. and Hernandez-Pajares, M., 1994. The Kohonen Self-Organizing Map Method : An assessment. Technical Paper of the European Science Agency.

  • Sadananda, R., et al., 1995. Environmental Databases and Knowledge discovery, To be Published at the GIS AM/FM Conference.

  • Sadananda, R., et al., 1995. Knowledge extraction from databases using Self-Organizing Maps, To be Published.

  • Nikhil, R. and James, C., 1993. Extensions of Self-Organizing Feature Maps for Improved Visual Displays. Proceedings of 1993 International Joint Conference on Neural Networks.

  • Sadananda, R., et al., 1994. The choice of neighborhood in Self-Organization scheme for VLSI. IEEE Conference in Expert Systems, AIT, 1994.

  • Ultsch, A. and Korus, D., 1995. Automatic Acquisition of Symbolic Knowledge from Subsymbolic Neural Networks. FG Informatik, University of Marburg, Germany.

  • Ultsch, A., et al., 1993. Knowledge Extraction from Artificial Neural Networks and Applications. Philipps University of Marburg, Dep. of Mathematics/Informatics.

  • Ultsch, A. and Vetter, C., 1994. Self-Organizing Feature Maps versus Statistical Clustering Methods: A Benchmark. University of Marburg, Germany.

  • UNDP and FAO, 1994. The Cambodia Land Cover Atlas 1985/87 - 1992/93. The Mekong Secretariat for Project CMB/92/005.

  • ZURADA, J., 1990. An introduction to Artificial Neural Systems. 1st edition, West Publishing company, USA.


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