基于BP神经网络的反应堆功率预测

由于核动力装置经常会变负荷运行，为使功率与负荷匹配，需要知道反应堆功率的精确值以做出准确、及时的调整。但由于测量装置不确定性的存在，使得基于物理模型或实验模型的反应堆功率测量难以得到反应堆功率的精确值。通过建立BP神经网络模型以及用统计方法对网络输入数据的预处理，对几种情况下的反应堆功率进行预测。结果表明，该方法不仅克服了测量装置的不确定性的缺点，且在部分数据缺失的情况下也能做出较好的预测。

Reactor Power Prediction Based on BP Neural Network

To make power and load matching because of the changing load operation of nuclear power plant,it needs to know the precise value of reactor power to make accurate and timely adjustment.But it is hard to acquire the precise value of reactor power through measurement of reactor power based on physical or empirical model for the reason that there is uncertainty in measurement instrument.Reactor power prediction was made in several cases through developing BP neural network and preprocessing of input data of ne...