Neural network attribution methods for problems in geoscience: A novel synthetic benchmark dataset

Despite the increasingly successful application of neural networks to many problems in the geosciences, their complex and nonlinear structure makes the interpretation of their predictions difficult, which limits model trust and does not allow scientists to gain physical insights about the problem at...

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Номзүйн дэлгэрэнгүй
Үндсэн зохиолчид: Antonios Mamalakis, Imme Ebert-Uphoff, Elizabeth A. Barnes
Формат: Өгүүллэг
Хэл сонгох:English
Хэвлэсэн: Cambridge University Press 2022-01-01
Цуврал:Environmental Data Science
Нөхцлүүд:
Онлайн хандалт:https://www.cambridge.org/core/product/identifier/S2634460222000073/type/journal_article

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