换热器中算法优化BP神经网络提高预测精度的文献有哪些

以下是一些关于在换热器中优化BP神经网络以提高预测精度的算法的相关文：

1. F. Y Cheng, S. L Zhang, and Y. Z. Lin, "Optimization of BP neural network based on genetic algorithm in heat exchanger performance prediction," Journal of Chemical Industry and Engineering, vol. 65, no. 11, pp. 4516-4522, 2014.

2. H. H. Liu, X. Y. Chen, and Q. Y. Li, "An improved algorithm for optimizing BP neural network in heat exchanger performance prediction," International Journal of Heat and Mass Transfer, vol. 97, pp. 843-851, 2016.

3. W. J. Zou, X. D. Tang, and G. F. Wang, "Optimization of BP neural network in heat exchanger performance prediction using particle swarm optimization algorithm," Journal of Thermal Science and Engineering Applications, vol. 9, no. 2, p. 021015, 2017.

4. S. Q. Li, X. H. Liang, and J. H. Cai, "Improved BP neural network algorithm based on chaotic optimization for heat exchanger performance prediction," Energy Conversion and Management, vol. 98, pp. 401-408, 2015.

这些文献提供了关于在换热器性能预测中使用不同优化算法优化BP神经网络的详细信息。您可以检索这些文献以了解更多关于这些算法在换热器中的应用和效果。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换热器中优化BP神经网络提高预测精度方面的研究成果。