使用局部代理模型的预测性维护应用的可解释人工智能

2021 4th International Conference on Artificial Intelligence for Industries (AI4I) Pub Date : 2021-09-01 DOI:10.1109/AI4I51902.2021.00029

Andrea Torcianti, S. Matzka

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引用次数: 10

摘要

本文为预测性维护数据集提供了一个使用局部可解释模型不可知解释(LIME)的解释性接口。对解释进行评估，并将模型的解释质量与相同数据集的两个先前的可解释模型进行比较。

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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Explainable Artificial Intelligence for Predictive Maintenance Applications using a Local Surrogate Model

This paper provides an explanatory interface using Local Interpretable Model-agnostic Explanations (LIME) for a predictive maintenance dataset. The explanations are evaluated and the explanatory quality of the model is compared to two previous explainable models for the same dataset.

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来源期刊

2021 4th International Conference on Artificial Intelligence for Industries (AI4I)

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