EconPapers    
Economics at your fingertips  
 

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

Manfred Fischer

MPRA Paper from University Library of Munich, Germany

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.

Keywords: n.a. (search for similar items in EconPapers)
JEL-codes: C45 (search for similar items in EconPapers)
Date: 1992
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Published in Geographical Systems 3.1(1994): pp. 221-235

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/77818/1/MPRA_paper_77818.pdf original version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:77818

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().

 
Page updated 2019-12-18
Handle: RePEc:pra:mprapa:77818