| RBF神经网络算法在水和蒸汽性质计算中的应用 |
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| 引用本文： | 杨宇. RBF神经网络算法在水和蒸汽性质计算中的应用[J]. 发电设备, 2014, 0(3): 151-153 |
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| 作者姓名： | 杨宇 |
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| 作者单位： | 上海发电设备成套设计研究院,上海200240 |
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| 基金项目： | 科技部科研院所技术开发研究专项资金（2013EG119143） |
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| 摘 要： | 介绍了在水和蒸汽性质计算中,利用RBF神经网络算法可获得IAPWS-IF97计算模型的基本公式的逆函数,计算结果完全能达到工程应用的精度要求;也可以把RBF神经网络算法的计算结果作为初始点,通过Brent迭代计算得到更高精度的结果。
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| 关 键 词： | 水和蒸汽 性质计算 径向基神经网络 |
Application of RBF Neural Network Algorithm in Calculation of Water and Steam Properties |
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| Yang Yu. Application of RBF Neural Network Algorithm in Calculation of Water and Steam Properties[J]. Power Equipment, 2014, 0(3): 151-153 |
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| Authors: | Yang Yu |
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| Affiliation: | Yang Yu (Shanghai Power Equipment Research Institute, Shanghai 200240, China) |
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| Abstract: | The inverse function of fundamental formula of IAPWS-IF97 calculation model can be obtained using RBF neural network algorithm in calculation of water and steam properties, calculation results can completely meet the precision requirement of engineering applications higher precision can also be obtained through Brent iterative calculation by taking the results o network algorithm as the initial point. |
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| Keywords: | water and steam property calculation RBF neural network of which the Results with f RBF neural |
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