文件名称:时间卷积神经网络
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程序为时间卷积神经网络的python程序，可捕获锂离子电池退化过程中的容量增生问题，迁移学习能力不强。
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下载文件列表
压缩包 : TCN.rar 列表 TCN/TCN-master/.gitignore TCN/TCN-master/LICENSE TCN/TCN-master/README.md TCN/TCN-master/TCN/adding_problem/add_test.py TCN/TCN-master/TCN/adding_problem/model.py TCN/TCN-master/TCN/adding_problem/README.md TCN/TCN-master/TCN/adding_problem/utils.py TCN/TCN-master/TCN/char_cnn/char_cnn_test.py TCN/TCN-master/TCN/char_cnn/model.py TCN/TCN-master/TCN/char_cnn/README.md TCN/TCN-master/TCN/char_cnn/utils.py TCN/TCN-master/TCN/copy_memory/copymem_test.py TCN/TCN-master/TCN/copy_memory/model.py TCN/TCN-master/TCN/copy_memory/README.md TCN/TCN-master/TCN/copy_memory/utils.py TCN/TCN-master/TCN/lambada_language/lambada_test.py TCN/TCN-master/TCN/lambada_language/model.py TCN/TCN-master/TCN/lambada_language/README.md TCN/TCN-master/TCN/lambada_language/utils.py TCN/TCN-master/TCN/mnist_pixel/data/mnist/processed/README.md TCN/TCN-master/TCN/mnist_pixel/data/mnist/raw/t10k-images-idx3-ubyte TCN/TCN-master/TCN/mnist_pixel/data/mnist/raw/t10k-labels-idx1-ubyte TCN/TCN-master/TCN/mnist_pixel/data/mnist/raw/train-images-idx3-ubyte TCN/TCN-master/TCN/mnist_pixel/data/mnist/raw/train-labels-idx1-ubyte TCN/TCN-master/TCN/mnist_pixel/model.py TCN/TCN-master/TCN/mnist_pixel/pmnist_test.py TCN/TCN-master/TCN/mnist_pixel/README.md TCN/TCN-master/TCN/mnist_pixel/utils.py TCN/TCN-master/TCN/poly_music/mdata/JSB_Chorales.mat TCN/TCN-master/TCN/poly_music/mdata/MuseData.mat TCN/TCN-master/TCN/poly_music/mdata/Nottingham.mat TCN/TCN-master/TCN/poly_music/mdata/Piano_midi.mat TCN/TCN-master/TCN/poly_music/model.py TCN/TCN-master/TCN/poly_music/music_test.py TCN/TCN-master/TCN/poly_music/README.md TCN/TCN-master/TCN/poly_music/utils.py TCN/TCN-master/TCN/tcn.py TCN/TCN-master/TCN/word_cnn/data/penn/corpus TCN/TCN-master/TCN/word_cnn/data/penn/test.txt TCN/TCN-master/TCN/word_cnn/data/penn/train.txt TCN/TCN-master/TCN/word_cnn/data/penn/valid.txt TCN/TCN-master/TCN/word_cnn/model.py TCN/TCN-master/TCN/word_cnn/README.md TCN/TCN-master/TCN/word_cnn/utils.py TCN/TCN-master/TCN/word_cnn/word_cnn_test.py TCN/TCN-master/TCN/__init__.py TCN/TCN-TF-master/char_cnn/char_cnn_test.py TCN/TCN-TF-master/char_cnn/model.py TCN/TCN-TF-master/char_cnn/utils.py TCN/TCN-TF-master/char_cnn/__init__.py TCN/TCN-TF-master/README.md TCN/TCN-TF-master/tcn.py TCN/TCN-TF-master/wnconv1d.py TCN/TCN-TF-master/__init__.py TCN/TCN-TF-master/__pycache__/tcn.cpython-37.pyc TCN/TCN-TF-master/__pycache__/wnconv1d.cpython-37.pyc TCN/TCN-master/TCN/mnist_pixel/data/mnist/processed TCN/TCN-master/TCN/mnist_pixel/data/mnist/raw TCN/TCN-master/TCN/mnist_pixel/data/mnist TCN/TCN-master/TCN/word_cnn/data/penn TCN/TCN-master/TCN/mnist_pixel/data TCN/TCN-master/TCN/poly_music/mdata TCN/TCN-master/TCN/word_cnn/data TCN/TCN-master/TCN/adding_problem TCN/TCN-master/TCN/char_cnn TCN/TCN-master/TCN/copy_memory TCN/TCN-master/TCN/lambada_language TCN/TCN-master/TCN/mnist_pixel TCN/TCN-master/TCN/poly_music TCN/TCN-master/TCN/word_cnn TCN/TCN-master/TCN TCN/TCN-TF-master/char_cnn TCN/TCN-TF-master/__pycache__ TCN/TCN-master TCN/TCN-TF-master TCN
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