一维数据直接作为CNN的输入的相关文献

关于一维数据直接作为CNN的输入的相关文献，以下是一些参考：

1. S. Bai, J. Z. Kolter, and V. Koltun, “An empirical evaluation of generic convolutional and recurrent networks for sequence modeling,” arXiv preprint arXiv:1803.01271, 2018.

2. Y. Kim, “Convolutional neural networks for sentence classification,” arXiv preprint arXiv:1408.5882, 2014.

3. F. Yu and V. Koltun, “Multi-scale context aggregation by dilated convolutions,” arXiv preprint arXiv:1511.07122, 2015.

4. S. Zhang, H. Wu, J. Zhao, and G. Wang, “Semi-supervised convolutional neural networks for text classification via region embedding,” Neurocomputing, vol. 224, pp. 235–247, 2017.

5. X. Zhang, Y. Kim, M. L. Yakovlev, M. H. Ismail, and E. Awad, “Deep learning for acoustic modeling using convolutional neural networks,” IEEE Signal Processing Letters, vol. 28, pp. 597–601, 2021.

这些文献都讨论了如何将一维数据作为CNN的输入，并对此进行了实验验证。希望对你有所帮助！