| 制冷剂物性参数的神经网络模型计算 |
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| 引用本文： | 赵海波,杨昭,吴坤. 制冷剂物性参数的神经网络模型计算[J]. 制冷空调与电力机械, 2005, 26(6): 5-9 |
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| 作者姓名： | 赵海波 杨昭 吴坤 |
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| 作者单位： | 1. 天津大学,热能研究所,天津,300072
2. 天津大学,环境学院,天津,300072 |
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| 摘 要： | 建立了BP神经网络模型来计算制冷剂物性参数,并以近共沸混合制冷剂R410A为例计算其饱和和过热状态的物性参数值,得到了满意的结果.
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| 关 键 词： | 神经网络 物性参数 |
| 文章编号： | 1006-8449(2005)06-0005-05 |
| 修稿时间： | 2005-05-11 |
Neural Network Calculation Model of Refrigerant Thermo-physical Properties |
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| ZHAO Hai-bo,YANG Zhao,WU Kun. Neural Network Calculation Model of Refrigerant Thermo-physical Properties[J]. Refrigeration Air Conditioning & Electric Power Machinery, 2005, 26(6): 5-9 |
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| Authors: | ZHAO Hai-bo YANG Zhao WU Kun |
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| Abstract: | A back-propagation neural network calculation model has been set up to calculate the refrigerant thermo -physical properties. And based on the model,the thermo -physical properties of refrigerant R410A were calculated as an example. Compared with results from the software REFPROP 6.01 .satisfied results have been got. |
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| Keywords: | R410A |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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