摘要
采用MATLAB与VC++混合编程,开发了水轮机综合特性曲线数据处理系统。该系统利用VC++友好的界面编程对水轮机综合特性曲线已知区域数据进行提取,使用MATLAB搜索引擎调用RBF人工神经网络库对提取数据进行拟合并结合边界约束条件对未知区域内的数据进行预测。该系统可代替许多繁琐的手工取值、非可视化编程调试工作,可提高水轮机综合特性曲线数据处理的数据精度和工作效率。
Based on mixed programming of MATLAB and VC + + , a treatment system of turbine synthetic characteristic curve is designed. The system can extract data of the known regions in turbine synthetic characteristic curve picture, which exerts the strong function on designing user interface of VC + + . It can fit the known discrete data by using RBF library in MATLAB engine and predicts the data in unknown regions with combination of the constraint conditions at the boundary. Therefore, some fussy unvisual interface programming and maual data extraction can be substituted. The precision and efficiency of data treatment of turbine synthetic characteristic curve are improved.
出处
《水利科技与经济》
2009年第2期158-160,共3页
Water Conservancy Science and Technology and Economy