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Oct, 2023
一种基于机器学习的地球科学系统建模的质量保持感知器
A Mass-Conserving-Perceptron for Machine Learning-Based Modeling of Geoscientific Systems
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Yuan-Heng Wang, Hoshin V. Gupta
TL;DR
通过使用物理可解释感知器来构建一个物理观念与机器学习相结合的模型,可以在理解物理结构和功能的基础上,提高对地球科学系统时间序列演化的准确性,并在科学假设验证方面具有实用性。
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 recurr
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