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| 基于改进的神经网络循环流化床锅炉建模 | |
| 引用本文： | 王渡,陈佳,李嘉.基于改进的神经网络循环流化床锅炉建模[J].上海电力学院学报,2010,26(4):327-330. |
| 作者姓名： | 王渡 陈佳 李嘉 |
| 作者单位： | 1. 上海电力学院,能源与环境工程学院,上海,200090 2. 浙江省天正设计工程有限公司,浙江,杭州,310012 3. 宝山钢铁股份有限公司电厂,上海,201900 |
| 基金项目： | 上海高校选拔培养优秀青年教师科研专项基金 |
| 摘 要： | 提出了基于改进的BP神经网络的方法,并引入附加动量项和自适应学习率,根据所提的建模方法进行实际建模.计算结果表明,该模型能够较好地对床温进行预测,可以反映主要参数变化时循环流化床锅炉床温的动态特性,说明了该建模方法的可行性. |
| 关 键 词： | 循环流化床 神经网络 误差反向传播算法 |
| 收稿时间： | 2009/1/12 0:00:00 |
Modeling of Circulating Fluidized Bed Boiler Based on Neural Network |
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| WANG Du,CHEN Jia and LI Jia.Modeling of Circulating Fluidized Bed Boiler Based on Neural Network[J].Journal of Shanghai University of Electric Power,2010,26(4):327-330. | |
| Authors: | WANG Du CHEN Jia and LI Jia |
| Affiliation: | WANG Du1,CHEN Jia2,LI Jia3(1.School of Thermal Power and Environmental Engineering,Shanghai University of Electric Power,Shanghai 20090,China,2.Tianzheng Designing Engineering Company,Zhengjiang 310012,3.Bao Steel Co.Ltd.,Shanghai 201900,China) |
| Abstract: | A model of improved neural networks is proposed,which has the ability to characterize such complex systems.The process of dynamic modeling for bed temperature system of CFB boiler is displayed.The results shows that the performance of this model is capable of predicting the bed temperature of the CFB,and the proposed new strategy is feasible and effective. |
| Keywords: | circulating fluidized bed neural networks back propagation |
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