基于模型的诊断中的不确定性计算

J. Sheppard, W. Simpson
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引用次数: 5

摘要

作者简要描述了在POINTER系统中实现的不确定性数据收集(修改模糊逻辑)、证据积累(修改Dempster-Shafer)和证据收集过程终止(反向传播神经网络)中使用的计算方法。一个示例演示了所提出的方法
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Uncertainty computations in model-based diagnostics
The authors briefly describe the computational methods used in uncertainty data gathering (modified fuzzy logic), evidence accumulation (modified Dempster-Shafer), and termination of the evidence-gathering process (backpropagation neural network) as they are implemented in the POINTER system. An example demonstrates the proposed approach.<>
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