带反向传播的ptSTL公式的学习参数

2020 28th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2020-10-05 DOI:10.1109/SIU49456.2020.9302093

Ahmet Ketenci, Ebru Aydin Gol

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引用次数: 1

摘要

本文提出了一种基于反向传播的学习过去时间信号时序逻辑(ptSTL)公式参数的算法。该算法使用参数值上的可微权矩阵和基于相应公式在标记数据集上的不匹配值的损失函数。对一个样本数据集的分析表明，该算法有效地解决了ptSTL参数的综合问题。

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Learning Parameters of ptSTL Formulas with Backpropagation

In this paper, a backpropagation based algorithm is presented to learn parameters of past time Signal Temporal Logic (ptSTL) formulas. A differentiable weight matrix over the parameter values and a loss function based on the mismatch value of the corresponding formulas over the labeled dataset are used in the algorithm. Analysis over a sample dataset shows that the algorithm solves the ptSTL parameter synthesis problem in an efﬁcient way.

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2020 28th Signal Processing and Communications Applications Conference (SIU)

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