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基于虚拟仪器的水库水质预测系统

Water Resources and Power(2009)

Cited 23|Views2
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Abstract
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。
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Key words
neural network,BP,C++,cellular automata,LabVIEW
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