| 基于遗传神经网络的电站锅炉飞灰含碳量预测 |
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| 引用本文： | 苑琪.基于遗传神经网络的电站锅炉飞灰含碳量预测[J].仪器仪表用户,2005,12(5):69-70. |
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| 作者姓名： | 苑琪 |
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| 作者单位： | 广东粤华发电有限责任公司,广州,510730 |
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| 摘 要： | 针对锅炉飞灰含碳置影响因素复杂．实时测量难度大．精度低，提出了一种基于遗传神经网络的预测方法，并用于某电厂，结果表明，该方法是有效的。
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| 关 键 词： | 锅炉 飞灰含碳量 遗传算法 神经网络 |
| 文章编号： | 1671-1041（2005）05-0069-02 |
| 收稿时间： | 2005-05-24 |
| 修稿时间： | 2005年5月24日 |
Forecasting the unburned carbon of the fly ash from utility boilers based on genetic-neural network |
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| YUAN Qi.Forecasting the unburned carbon of the fly ash from utility boilers based on genetic-neural network[J].Electronic Instrumentation Customer,2005,12(5):69-70. |
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| Authors: | YUAN Qi |
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| Abstract: | In order to solve the real-time calculation of the unbumed carbon of the fly ash from utility boilers and low accuracy, a new method is developed based on Genetic-Neural network in this paper. The result of typical calculation examples in one of the utility boilers showed that the present method was effective. |
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| Keywords: | Utility boiler Unburned carbon content GA Neural Network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
