| 基于人工神经网络的矿业城市循环经济综合指标评价 |
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| 引用本文： | 潘竞涛,王志宏. 基于人工神经网络的矿业城市循环经济综合指标评价[J]. 露天采矿技术, 2006, 0(2): 62-64 |
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| 作者姓名： | 潘竞涛 王志宏 |
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| 作者单位： | 辽宁工程技术大学研究生院,辽宁,阜新,123000 |
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| 摘 要： | 通过参考不同的循环经济评价体系,构建了一套新的矿业城市循环经济评价体系。提出了一种构建指标和它们的权重的实践方法,并且讨论了使用改进BP神经网络方法评价矿业城市循环经济发展的原理。改进的BP神经网络方法是一种极好的矿业城市循环经济发展的综合评价方法。
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| 关 键 词： | 循环经济 BP神经网络 综合评价指标 黑箱原理 |
| 文章编号： | 1671-9816（2006）02-0062-03 |
| 收稿时间： | 2005-11-03 |
| 修稿时间： | 2005-11-03 |
Evaluating mining city circular economy by integrated indices based on BP artificial neural networks |
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| PAN Jing-tao,WANG Zhi-hong. Evaluating mining city circular economy by integrated indices based on BP artificial neural networks[J]. Opencast Mining Technology, 2006, 0(2): 62-64 |
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| Authors: | PAN Jing-tao WANG Zhi-hong |
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| Affiliation: | Liaoning Technical University, Fuxin 123000, China |
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| Abstract: | By referring to various circular economy evaluation systems,a new integrated evaluation system for circular economy is constructed.This paper puts forward a practical method to construct indices and their weights,and discusses the theory of evaluating method.Improved BP artificial neural networks is preferable comprehensive evaluation of circular economy. |
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| Keywords: | circular economy BP artificial neural networks integrated indices black box theory |
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