dc.contributor.author | Routroy, Srikanta | |
dc.date.accessioned | 2023-08-18T09:58:49Z | |
dc.date.available | 2023-08-18T09:58:49Z | |
dc.date.issued | 2019-10 | |
dc.identifier.uri | https://www.emerald.com/insight/content/doi/10.1108/JM2-11-2018-0192/full/html | |
dc.identifier.uri | http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/11515 | |
dc.description.abstract | The purpose of this study is to select the appropriate forecasting model at the retail stage for selected vegetables on the basis of performance analysis. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Emerald | en_US |
dc.subject | Mechanical Engineering | en_US |
dc.subject | Artifical intelligence | en_US |
dc.subject | Demand forecasting | en_US |
dc.subject | Forecast error analysis | en_US |
dc.subject | Long short term memory networks | en_US |
dc.title | Demand forecasting at retail stage for selected vegetables: a performance analysis | en_US |
dc.type | Article | en_US |
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