地质论评2023，Vol.69Issue(6)：2263-2273,11.DOI:10.16509/j.georeview.2023.06.035
来自大别山深成侵入岩图像深度迁移学习的可解释性研究
Interpretability of the deep transfer learning with images of plutonic intrusive rocks collected from the Dabie Mountains
摘要
关键词
深度学习/岩性识别/可解释性/特征图可视化/局部可理解的模型解释Key words
deep learning/lithological recognition/interpretability/convnet visualization/LIME引用本文复制引用
陈忠良,袁峰,李晓晖,郑超杰..来自大别山深成侵入岩图像深度迁移学习的可解释性研究[J].地质论评,2023,69(6):2263-2273,11.基金项目
本文为国家自然科学基金资助项目(编号:41820104007,42072321,42202328)的成果.This study was financially supported by the National Natural Science Foundation of China(Nos.41820104007,42072321,42202328) （编号:41820104007,42072321,42202328）
