基于神经网络算法的火电厂锅炉效率优化模型研究

Optimization Model of Boiler Efficiency in Thermal Power Plant Based on Neural Network Algorithm

对于锅炉的优化,我们建立了基于神经网络的优化模型,并对其进行相关的测试,在将相对误差降到最低时分析得出当训练误差与测试误差达到最小时锅炉的运行为最优。

For the optimization of boiler, we establish the opti-mization model based on neural network, and the correlativetests, the relative error is minimized when the analysis showedthat when the training error and test error when the boiler operation is the best.