Electronic Resource
FUTURIST trained ANN models for summer and winter seasons
| العنوان: | FUTURIST trained ANN models for summer and winter seasons |
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| المؤلفون: | Shahryar Ahmad (10955724), Faisal Hossain (812322) |
| سنة النشر: | 2021 |
| المجموعة: | Smithsonian Institution: Digital Repository |
| مصطلحات موضوعية: | Hydrology, Knowledge Representation and Machine Learning, machine-learning models, thermal impact prediction |
| الوصف: | These are the trained FUTURIST ANN models on a global set of dams used to predict the likely thermal impact caused by a dam downstream using readily available predictors. There are two separate models to be used for summer and winter seasons. Both the models use the same architecture. Ensure that the correct model is used for dams in northern or southern hemisphere with respect to the seasons. |
| نوع الوثيقة: | software |
| اللغة: | unknown |
| Relation: | https://figshare.com/articles/software/FUTURIST_trained_ANN_models_for_summer_and_winter_seasons/14766903 |
| DOI: | 10.6084/m9.figshare.14766903.v2 |
| الاتاحة: | https://doi.org/10.6084/m9.figshare.14766903.v2 |
| Rights: | CC BY 4.0 |
| رقم الانضمام: | edsbas.79A956A4 |
| قاعدة البيانات: | BASE |
| DOI: | 10.6084/m9.figshare.14766903.v2 |
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