A Mass‐Conserving‐Perceptron for Machine‐Learning‐Based Modeling of Geoscientific Systems
Yuan‐Heng Wang,
Hoshin V. Gupta
Abstract:Although decades of effort have been devoted to building Physical‐Conceptual (PC) models for predicting the time‐series evolution of geoscientific systems, recent work shows that Machine Learning (ML) based Gated Recurrent Neural Network technology can be used to develop models that are much more accurate. However, the difficulty of extracting physical understanding from ML‐based models complicates their utility for enhancing scientific knowledge regarding system structure and function. Here, we propose a phys… Show more
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