摘要
应用BP神经网络技术 ,对汽轮机组滑压运行特性进行了研究 ,并对其特性参数进行了优化。结果表明 ,应用BP神经网络 ,可以较准确地计算出不同负荷下汽轮机在不同初压下的热耗率 。
A study on the peformance of sliding-pressure operation for turbine unit has been carried out by using back propagation(BP) neural network, and the performance parameters of said operation being optimized. The results show that the application of BP neural network can more accurately work out the computation for specific heat consumption of the said turbine unit in sliding-pressure operation under different loads with different initial pressure, thus the optimal initial pressure can be determined.
出处
《热力发电》
CAS
北大核心
2003年第7期24-26,38,共4页
Thermal Power Generation
