combined dataset
收藏arXiv2025-09-30 收录
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https://github.com/smartarch/trust4.0-demo
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资源简介：
该数据集整合了模拟数据和随机数据，以增强在适配规则守护条件评估为假时对所有可能情况的覆盖范围。此外，该结合数据集还包含了来自随机抽样中的假情况以及来自Trust4.0项目中开发的模拟的真实情况。该任务旨在评估自我适应架构中神经网络适配方法的性能。
This dataset integrates simulated and random data to enhance coverage of all possible scenarios when the adaptation rule guard condition evaluates to false. Additionally, the combined dataset includes negative cases from random sampling, as well as realistic simulated cases developed in the Trust4.0 project. This task aims to evaluate the performance of neural network adaptation methods in self-adaptive architectures.
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