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m improve: consistency – i.e. finish correcting the semantic mistake in the relation with the GWNNs, see below in the revision history |
improve: i.meaningfulness – i.e. consistently use of hyphenation instead of agglutination for ‘geo-spatial’ and no comma after ‘e.g.’ throughout the entry/article so to avoid confusing readers, since using 'geospatial' is also correct but should apply everywhere; ii.wholesomeness – i.e. thank User:GeogSage for the syntactic improvements, added internal link, created ‘talk page’ with relevant templates |
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{{Short description|Category of tailored neural networks}}
{{distinguish|Spatial network}}{{other uses|SNN (disambiguation)}}
<!-- Please be cautious in revising the lead/introduction since its visible and invisible texts transclude in the entry/article on: 'spatial analysis' and 'types of artificial neural networks'; please read the webpages: 'Wikipedia:INCLUDEONLY' and 'Wikipedia:PARTRANS', for understanding the properties and purposes of the used HTML tags --><onlyinclude>'''Spatial neural networks''' ('''SNNs''') constitute a supercategory of tailored [[artificial neural networks|neural networks (NNs)]] for representing and predicting geographic phenomena. They generally improve both the statistical [[Accuracy and precision|accuracy]] and [[Statistical reliability|reliability]] of the a-spatial/classic NNs whenever they handle [[Geographic data and information|
==History==
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