| 人工神经网络在炼铁工序能耗分析中的应用 |
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| 引用本文： | 蔡红鑫,谢安国,苑安民. 人工神经网络在炼铁工序能耗分析中的应用[J]. 上海应用技术学院学报：自然科学版, 2006, 6(2): 149-154 |
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| 作者姓名： | 蔡红鑫 谢安国 苑安民 |
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| 作者单位： | 鞍山科技大学材料工程系 辽宁鞍山114044(蔡红鑫，谢安国)，上海应用技术学院环境与能源工程系 上海200235(苑安民) |
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| 摘 要： | 以节能降耗为基本出发点,借助大量的统计数据,运用BP算法对企业工序能耗进行了系统地分析。研究结果表明用神经网络BP算法构造的网络模型,用于练铁工序能耗多因素的定量分析是可行的。这种方法尤其适用于一般数学模型难以描述的非机理型相关因素的定量分析。
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| 关 键 词： | 人工神经网络 工序能耗 BP网络模型 |
| 文章编号： | 1671-7333(2006)02-0149-06 |
| 收稿时间： | 2006-02-17 |
| 修稿时间： | 2006-02-17 |
An Application of Artificial Neural Networks in the Analysis of Energy Consumption in the Process of Iron-making |
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| CAI Hong-xin,XIE An-guo,YUAN An-min. An Application of Artificial Neural Networks in the Analysis of Energy Consumption in the Process of Iron-making[J]. Journal of Shanghai Institute of Technology: Natural Science, 2006, 6(2): 149-154 |
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| Authors: | CAI Hong-xin XIE An-guo YUAN An-min |
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| Affiliation: | 1. Anshan University of Science and Tecluology, Anshan 114044, Liaoning China; 2. Department of Enviornrnental and Energy Engineering, Shanghai Institute of Technology, Shanghai 200235, China |
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| Abstract: | Based on energy conserving,the energy intensity of companies was analyzed by the method of BP analysis with statistical data.The research showed that it was available to apply BP algorithm in the quantitative analysis of several factor of the energy intensity in the iron-making process.The method was applied especially in the quantitative analysis of relevant factors which are non-mechanism and hard to be described by the common mathematical models. |
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| Keywords: | artificial neural networks process energy intensity BP neural networks |
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