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Expert Systems and Artificial Neural Networks for Spatial Analysis and Modelling. Essential Components for Knowledge-Based Geographical Information Systems

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  • Fischer, Manfred M.

Abstract

This article outlines the general architecture of a knowledge based GISystem that has the potential to intelligently support decision making in a GIS environment. The efficient and effective integration of spatial data, spatial analytic procedures and models, procedural and declarative knowledge is through fuzzy logic, expert systems and neural network technologies. A specific focus of the discussion is on the expert system and neural network components of the system, technologies which had been relatively unknown in the GIS community at the time this chapter was written.

Suggested Citation

  • Fischer, Manfred M., 1992. "Expert Systems and Artificial Neural Networks for Spatial Analysis and Modelling. Essential Components for Knowledge-Based Geographical Information Systems," MPRA Paper 77818, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:77818
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    References listed on IDEAS

    as
    1. Fischer, Manfred M & Nijkamp, Peter, 1992. "Geographic Information Systems and Spatial Analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 26(1), pages 3-17, April.
    2. Openshaw, Stan, 1992. "Some Suggestions Concerning the Development of Artificial Intelligence Tools for Spatial Modelling and Analysis in GIS," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 26(1), pages 35-51, April.
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    Keywords

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    JEL classification:

    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics

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