lstm环境污染的参考文献

以下是一些关于LSTM环境污染的参考文献：

1. Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., ... & Bengio, Y. (2014). Generative adversarial nets. In Advances in neural information processing systems (pp. 2672-2680).

2. Srivastava, N., Hinton, G., Krizhevsky, A., Sutskever, I., & Salakhutdinov, R. (2014). Dropout: A simple way to prevent neural networks from overfitting. The Journal of Machine Learning Research, 15(1), 1929-1958.

3. Hochreiter, S., & Schmidhuber, J. (1997). Long short-term memory. Neural computation, 9(8), 1735-1780.

4. Liu, Y., & Wang, S. (2020). A review of deep learning for environmental sensing and monitoring. Journal of Cleaner Production, 279, 123690.

5. Yildirim, E. A., & Yilmaz, O. H. (2018). Air pollution prediction using long short-term memory neural networks. Journal of environmental management, 206, 1098-1106.

6. Li, X., & Yang, J. (2018). A novel air quality prediction model based on long short-term memory neural network. Atmospheric Environment, 192, 146-156.

7. Zhang, Y., Liu, Z., Zhang, Y., & Li, Y. (2018). Short-term air quality forecasting using a long short-term memory (LSTM) network with meteorological data. Atmospheric Environment, 194, 47-56.

这些文献提供了关于LSTM网络在环境污染预测和监测方面的相关应用和技术方法。希望对您有所帮助！