| 小型制冷压缩机热力计算神经网络方法的改进 |
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| 引用本文： | 张春路,丁国良,李灏. 小型制冷压缩机热力计算神经网络方法的改进[J]. 机械工程学报, 2001, 37(1): 75-77 |
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| 作者姓名： | 张春路 丁国良 李灏 |
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| 作者单位： | 上海交通大学动力与能源工程学院, |
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| 基金项目： | 国家教委留学回国人员基金，上海市青年科技启明星计划，上海交通大学科技发展基金 |
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| 摘 要： | 由于制冷压缩机热力计算神经网络方法存在不足 ,所以在充分考虑传统制冷压缩机热力计算模型的物理特征后 ,提出改进的神经网络方法。新方法中的多层前向神经网络输入参数少、网络结构紧凑 ,输入、输出参数无需规范化和反规范化。通过对多种小型制冷压缩机进行的实例计算表明改进后的方法效果很好
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| 关 键 词： | 制冷压缩机 热力计算 人工神经网络 |
| 修稿时间： | 2000-06-27 |
THERMODYNAMIC CALCULATION OF REFRIGERATION COMPRESSORS WITH MODIFIED ARTIFICIAL NEURAL NETWORK METHOD |
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| ZHANG Chunlu,DING Guoliang,Li Hao. THERMODYNAMIC CALCULATION OF REFRIGERATION COMPRESSORS WITH MODIFIED ARTIFICIAL NEURAL NETWORK METHOD[J]. Chinese Journal of Mechanical Engineering, 2001, 37(1): 75-77 |
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| Authors: | ZHANG Chunlu DING Guoliang Li Hao |
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| Affiliation: | Shanghai Jiaotong University |
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| Abstract: | Artificial neural network (ANN)was utilized as a new method to calculate the thermodynamic performance of refrigeration compressors However,there are some shortcomings in the previous study A modified ANN method is developed by taking into accounts physical features of the classical thermodynamic model of refrigeration compressors The multilayer forward ANN in the new method is of less inputs than the old one,thus its structure is compact The inputs and outputs are naturally normalized Therefore,no operation on nomalization or denomalization is needed Several kinds of small scale refrigeration compressors are modeled with the presented ANN method,satisfactory precision and generalization are obtained |
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| Keywords: | Refrigeration compressor Thermodynamic calculation Artificial neural network |
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