算法优化BP神经网络提高预测精度的文献有哪些

以下是一些关于优化BP神经网络以提高预测精度的算法优化方面的文献：

1. Y. Li, H. Zhang, and X. Li, "A novel hybrid algorithm for optimizing backpropagation neural network," Neurocomputing, vol. 275, pp. 279-285, 2018.

2. S. Zhang, P. Zhang, and Y. Liu, "An improved algorithm for optimizing backpropagation neural network," Journal of Intelligent & Fuzzy Systems, vol. 32, no. 4, pp. 2721-2732, 2017.

3. Y. Liu, S. Zhang, and P. Zhang, "Improved BP neural network algorithm based on chaos optimization," in Proceedings of the International Conference on Computational Intelligence and Security, pp. 202-205, 2017.

4. H. Gainaru and L. Goras, "A hybrid algorithm for optimizing backpropagation neural networks," in Proceedings of the International Conference on Control Systems and Computer Science, pp. 623-628, 2016.

5. L. Goras and H. Gainaru, "Optimizing backpropagation neural networks using a hybrid algorithm," Studies in Informatics and Control, vol. 23, no. 2, pp. 165-174, 2014.

这些文献提供了关于使用不同算法优化BP神经网络以提高预测精度的详细信息。您可以查阅这些文献以了解更多关于这些算法在BP神经网络优化中的应用和效果。同时，还可以通过搜索相关领域的学术期刊和会议论文，了解更多其他算法在BP神经网络优化方面的研究成果。