Spatial neural network: Difference between revisions

Content deleted Content added
m improve: consistency – i.e. remove a syntactic error in the Wikipedia's internal link to the namespace: category for 'artificial neural networks'
improve: completeness – i.e. specify a case study in the 'energy industry' field within the section on: SNNs' applications; ii.consistency – i.e. add 1 bibliographic reference for supporting the proposition/statement
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<!-- thematic section within a methodological entry should remain a list, so that readers can quickly find examples of applications in their thematic fields/subfields; illustrative syntheses of case studies should appear within a separate/new Wikipedia’s entry (e.g. on 'applications of spatial models'); a section: 'software' reviewing the 'application software' and 'libraries/packages' with snippets of source codes would be really informative -->
There exist [[case-study]] applications of SNNs in:
*agriculture energy for classifyingpredicting the [[vegetation]]electricity consumption;<ref name="PodlipnovRif'an et al. (20232019)">{{cite conference |vauthors=Podlipnov V, FirsovRif'an NM, IvlievDaryanto ND, MashkovAgung S,A Ishkin P, Skidanov R, Nikonorov A |date=20232019 |title=Spectral-spatialSpatial neural network classificationfor forecasting energy consumption of hyperspectralPalembang vegetation imagesarea |book-titlejournal=Journal IOPof physics: conference series: earth and environmental science|volume=1402 |volumeissue=11383 |doi=10.1088/17551742-13156596/11381402/13/012040033092}}</ref>
*real estateagriculture for appraisingclassifying the [[premisesvegetation]].;<ref name="LinPodlipnov et al. (20212023)">{{cite journalconference |vauthors=LinPodlipnov RV, OuFirsov CN, TsengIvliev KN, BowenMashkov DS, YungIshkin KP, IpSkidanov WR, Nikonorov A |date=20212023 |title=The SpatialSpectral-spatial neural network modelclassification withof disruptivehyperspectral technologyvegetation forimages property|book-title= appraisalIOP inconference realseries: estate industry |journal=Technological Forecastingearth and Socialenvironmental Changescience |volume=177 |page=1210671138 |doi=10.10161088/j.techfore.2021.1210671755-1315/1138/1/012040}}</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 |page=121067 |doi=10.1016/j.techfore.2021.121067}}</ref>
 
==See also==