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autoencoder-cnn-lstm--to-prediction-battery-rul's Introduction

自编码-CNN-LSTM 融合模型预测锂离子电池RUL

论文复现:10.1109/TII.2020.3008223

git操作:

git add . ||将本地的更改添加到缓冲区

git commit -m "备注" ||输入提交信息并压缩文件

git push ||将文件上传至云端

git ls-files ||查看本地缓冲区的文件

git remote -v ||查看连接的远程版本信息

git commit -m "备注" ||输入提交信息并压缩文件

更新github

git remote remove origin ||git取消与远程仓库的连接

git remote add origin https://github.com/...(这里填写GitHub上的地址)//先进行远程连接

git pull ||如果github上的文件发生了更改,需要先将github和本地merge,再将本地修改上传

git add . ||将本地的更改添加到缓冲区

git commit -m "备注" ||输入提交信息并压缩文件

git push ||将文件上传至云端

autoencoder-cnn-lstm--to-prediction-battery-rul's People

Contributors

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