Just a Single-Layer CNN for Stochastic Modeling: A Discriminator-Free Approach

The advent of machine learning (ML) has significantly transformed hydrology, particularly in the simulation of hydrological flows. However, ML techniques have not been employed to the same extent in stochastic hydrology. In applied sciences, the most common ML-based approach for developing stochasti...

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Bibliographic Details
Main Author: Evangelos Rozos
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Hydrology
Subjects:
Online Access:https://www.mdpi.com/2306-5338/12/7/170
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