| 670t/h煤粉炉飞灰含碳量的神经网络预测建模 | |
| 陈彪 ; 丁艳军 ; 吴占松 ; CHEN Biao ; DING Yan-jun ; WU Zhan-song | |
| 2010-07-19 ; 2010-07-19 | |
| 关键词 | 锅炉 飞灰含碳量 神经网络 LM算法 优化 utility boiler carbon content in fly ash neural network LM algorithm optimization TK229.6 |
| 其他题名 | Artificial Neural Network Modeling for Forecasting Carbon Content in Fly Ash from 670t/h Utility Boiler |
| 中文摘要 | 对煤粉炉中影响飞灰含碳量的主要因素进行分析,并根据正交实验原理,对某台670t/h的燃煤锅炉飞灰含碳特性进行多工况热态实验,采用基于LM(Levenberg-Marquardt)算法的BP神经网络建立了锅炉飞灰含碳量的神经网络预测模型,实验验证结果表明该算法不仅收敛速度快,而且模型能根据各种操作参数准确地预报锅炉在不同工况下飞灰含碳量。; Main factors effected the carbon content in fly ash were analyzed.With the help of orthogonal experiment theory,carbon content in fly ash of a 670t/h utility boiler was experimentally investigated.Taking advantage of BP neural network based on Levenberg-Marquardt(LM)algorithm,the prediction model of unburned carbon content is established and verified.The results illustrates that the LM algorithm has a rapid convergent speed and the model can exactly forecast the carbon content according to different operating parameters.; 国家自然科学基金资助项目(50276031) |
| 语种 | 中文 ; 中文 |
| 内容类型 | 期刊论文 |
| 源URL | [http://hdl.handle.net/123456789/75677]  |
| 专题 | 清华大学 |
| 推荐引用方式 GB/T 7714 | 陈彪,丁艳军,吴占松,等. 670t/h煤粉炉飞灰含碳量的神经网络预测建模[J],2010, 2010. |
| APA | 陈彪,丁艳军,吴占松,CHEN Biao,DING Yan-jun,&WU Zhan-song.(2010).670t/h煤粉炉飞灰含碳量的神经网络预测建模.. |
| MLA | 陈彪,et al."670t/h煤粉炉飞灰含碳量的神经网络预测建模".(2010). |
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