Artificial neural networks in geospatial analysis
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Citation (published version)Sucharita Gopal. 2017. "Artificial Neural Networks in Geospatial Analysis." In: The International Encyclopedia of Geography: People, the Earth, Environment, and Technology. Edited by Douglas Richardson, Noel Castree, Michael F. Goodchild, Audrey Kobayashi, Weidong Liu, and Richard A. Marston. DOI: 10.1002/9781118786352.wbieg0322
Artificial neural networks are computational models widely used in geospatial analysis for data classification, change detection, clustering, function approximation, and forecasting or prediction. There are many types of neural networks based on learning paradigm and network architectures. Their use is expected to grow with increasing availability of massive data from remote sensing and mobile platforms.
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