Noise Analysis for OSS Stochastic Differential Equation Model as Training Data of Deep Learning
We focus on the noise analysis by using stochastic differential equation model as training data of deep learning. Then, we use the solution process of stochastic differential equation for the software fault analysis to the training data. Also, several numerical examples are shown in this paper. Moreover, this paper shows several sensitivity analyses for the actual big fault data.
Authors
- Yoshinobu Tamura (ORCID: https://orcid.org/0000-0001-7665-5765)
- Shigeru Yamada (ORCID: https://orcid.org/0000-0001-9998-6938)
- Shoichiro Miyamoto (ORCID: https://orcid.org/0000-0003-3773-5249)
- Takumi YASUI
- Lei Zhou (ORCID: https://orcid.org/0000-0002-3443-7396)
Institutions
- Yamaguchi University (JP)
- Tottori University (JP)
Publication Details
- Published
- 2025-03-29
- DOI
- https://doi.org/10.1109/icct-pacific63901.2025.11012813
- Primary Topic
- Simulation Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00