Spatial neural network: Difference between revisions

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improve: completeness and consistency – i.e. create and think/draft the section on: SNNs' applications, while adding two bibliographic references for supporting the propositions/statements
m improve: meaningfulness – i.e. specify semantics
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==Applications==
There exist [[case-study]] applications of SNNs in:
*agriculture for classifying the [[vegetation]];<ref name="Podlipnov et al. (2023)">{{cite conference |vauthors=Podlipnov V, Firsov N, Ivliev N, Mashkov S, Ishkin P, Skidanov R, Nikonorov A |date=2023 |title=Spectral-spatial neural network classification of hyperspectral vegetation images |book-title= IOP conference series: earth and environmental science |volume=1138 |doi=10.1088/1755-1315/1138/1/012040}}</ref>
*real estate for appraising the [[premises]].<ref name="Lin et al. (2021)">{{cite journal |vauthors=Lin R, Ou C, Tseng K, Bowen D, Yung K, Ip W |date=2021 |title=The Spatial neural network model with disruptive technology for property appraisal in real estate industry |journal=Technological forecasting and social change |volume=177 |doi=10.1016/j.techfore.2021.121067}}</ref>