| 用模糊神经网络方法预测煤灰的结渣特性 |
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| 引用本文： | 王斌忠,吴占松,许立冬,常宝成. 用模糊神经网络方法预测煤灰的结渣特性[J]. 清华大学学报(自然科学版), 1999, 39(4): 2 |
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| 作者姓名： | 王斌忠 吴占松 许立冬 常宝成 |
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| 作者单位： | 清华大学,热能工程系,北京,100084 |
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| 摘 要： | 研究煤灰的结渣特性是预测和诊断电站锅炉炉内结渣故障的第一步。综合应用模糊数学和神经网络的知识构造了一个模糊神经网络模型，用以判别煤灰的结渣特性。该方法是对已有的单一指标判别法和用模糊数学方法进行多个指标判别的改进。计算结果表明，该方法具有诊断速度快、结果准确的特点，为进一步研究煤灰结渣综合判别指标提供了一个新的途径。
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| 关 键 词： | 煤灰特性 判别指数 模糊神经网络 |
| 修稿时间： | 1998-03-10 |
Forecasting slagging characteristic of coal ash using fuzzy neural network method |
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| WANG Binzhong,WU Zhansong,XU Lidong,CHANG Baocheng. Forecasting slagging characteristic of coal ash using fuzzy neural network method[J]. Journal of Tsinghua University(Science and Technology), 1999, 39(4): 2 |
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| Authors: | WANG Binzhong WU Zhansong XU Lidong CHANG Baocheng |
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| Abstract: | In order to forecast and diagnose the slagging fault of boiler in power stations, it is necessary to study the slagging characteristic of coal ash. A fuzzy neural network model using fuzzy mathematics and neural network knowledge was discussed. It is based on the single index method and the multi index method using fuzzy mathematics. The results show the method diognoses faster, can get more accurate results and it provides a new method to further study the slagging synthetic index of coal ash. |
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| Keywords: | coal ash charactristic distinguishing index fuzzy neural network |
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