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Temporal data mining using genetic algorithm and neural network —A case study of air pollutant forecasts
2004
Geo-spatial Information Science
Artificial intelligence technology like neural network and genetic algorithm can easily cope with highly complicated and non-linear combined spatial and temporal issues. Therefore this paper integrated genetic algorithm and neural network techniques to build new temporal predicting analysis tools for Geographic Information System (GIS). These new GIS tools can be readily applied in a practical and appropriate manner in spatial and temporal research to patch the gaps in GIS data mining and
doi:10.1007/bf02826674
fatcat:ds4yyw7dk5fmfcnywqmav5xbne