Predictive Assessment of Neural Network Classifiers For Applications In GIS
نویسندگان
چکیده
Artificial Neural Networks (ANNs) are well suited to implementing supervised classification tools for GIS data. They make no assumptions about the statistical nature of the data, can be used with ordinal and nominal data types together and can be trained with comparatively few training points, as they do not have to choose a data distribution model, unlike techniques such as Maximum Likelihood Classification.
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