Open AccessVariational Bayesian dropout with a Gaussian prior for recurrent neural networks application in rainfall–runoff modeling
Author(s) -
Sadegh Sadeghi Tabas,
S. Samadi
Publication year - 2022
Publication title -
environmental research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.37
H-Index - 124
ISSN - 1748-9326
DOI - 10.1088/1748-9326/ac7247
Subject(s) - recurrent neural network , dropout (neural networks) , overfitting , computer science , randomness , streamflow , artificial intelligence , gaussian process , bayesian inference , bayesian probability , machine learning , artificial neural network , gaussian , algorithm , statistics , mathematics , drainage basin , geography , physics , cartography , quantum mechanics
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom