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使用自适应学习技术快速准确地逼近数值模型中的物理

The 3rd International Workshop on Scientific Use of Submarine Cables and Related Technologies, 2003. Pub Date : 2003-07-29 DOI:10.1109/CIMSA.2003.1227209
V. Krasnopolsky, M. Fox-Rabinovitz, D. Chalikov
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引用次数: 1

摘要

介绍并说明了一种新的神经网络在数值气候模拟和天气预报模式中近似大气物理过程的应用。
本文章由计算机程序翻译，如有差异，请以英文原文为准。
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Using adaptive learning techniques for fast and accurate approximation of physics in numerical models
A new NN application to approximating atmospheric physics processes in numerical climate simulation and weather prediction models is introduced and illustrated.
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来源期刊
The 3rd International Workshop on Scientific Use of Submarine Cables and Related Technologies, 2003.
The 3rd International Workshop on Scientific Use of Submarine Cables and Related Technologies, 2003.
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