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Extreme learning machines for weather-based modelling of silk cocoon production

In spite of the immense popularity and sheer power of the neural network models, their application in sericulture is still very much limited. With this backdrop, this study evaluates the suitability of neural network models in comparison with the linear regression models in predicting silk cocoon p...

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Autors principals: PRAMIT PANDIT, BISHVAJIT BAKSHI, SHILPA M.
Format: Artigo
Idioma:Inglês
Publicat: Association of agrometeorologists 2022-02-01
Col·lecció:Journal of Agrometeorology
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Accés en línia:https://journal.agrimetassociation.org/index.php/jam/article/view/946
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