摘要
为预测水库水质变化趋势,在水质实测数据的基础上,基于螺旋线元胞自动机原理组织样本数据,建立了BP神经网络预测模型,研制了灵活开放的虚拟仪器预测系统。系统在LabVIEW平台下结合C++编程实现,测试结果表明,所建模型精度高、简单易用、具有很强的可操作性和实用性,可适应不同的用户和环境。
In order to predict the changing trends of the reservoir water quality, based on the real-measuring data of water quality and the principle of helix cellular automata to organize the sampled data, a BP neural network prediction model was proposed, and an open and flexible prediction system based on virtual instrument was developed. This system was developed by using LabVIEW and C＋ ＋, the test results show that the model is accurate, simple to use, and it is strongly feasible and practical, it can be adapted for different users and environments.
出处
《水电能源科学》
北大核心
2009年第4期142-144,共3页
Water Resources and Power
基金
河北工程大学省重点学科基金资助项目(081041)
作者简介
王娜（1984-），女，硕士研究生．研究方向为虚拟仪器在水力机组测试中的应用，E-mail：maodeyu@yahoo．cn
