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人工神经网络模型的不确定性：超越 GUM 边界的蒙特卡洛模拟

IF 0.6 Q3 SOCIAL SCIENCES, INTERDISCIPLINARY
Measurement-Interdisciplinary Research and Perspectives Pub Date : 2024-02-29 DOI:10.1080/15366367.2023.2246112
A.M. Sadek, Fahad Al-Muhlaki
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引用次数: 0

摘要

在这项研究中，考虑到与数据的随机性和缺乏学习有关的不确定性，对人工神经网络（ANN）的准确性进行了评估。Monte-Carlo 分析法是一种用于计算和分析数据的...
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Uncertainty in Artificial Neural Network Models: Monte-Carlo Simulations Beyond the GUM Boundaries
In this study, the accuracy of the artificial neural network (ANN) was assessed considering the uncertainties associated with the randomness of the data and the lack of learning. The Monte-Carlo al...
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来源期刊
Measurement-Interdisciplinary Research and Perspectives
Measurement-Interdisciplinary Research and Perspectives SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
1.80
自引率
0.00%
发文量
23
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