| 引黄灌区用水水平评价的属性识别模型 |
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| 引用本文： | 张文鸽.引黄灌区用水水平评价的属性识别模型[J].水资源与水工程学报,2005,16(1):15-18. |
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| 作者姓名： | 张文鸽 |
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| 作者单位： | 黄河水利科学研究院,河南郑州450003／／西安理工大学,陕西西安710048 |
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| 基金项目： | 水利部"948"项目(CT200328) |
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| 摘 要： | 引黄灌区用水水平评价是一个多层次多指标的系统整体分析评价问题,在分析已有综合评价方法的基础上,提出了基于属性识别理论的灌区用水水平评价方法,并以黄河下游引黄灌区为例,将属性识别理论应用于黄河下游典型灌区用水水平评价,建立了黄河下游引黄灌区用水水平评价的属性识别模型。结果表明,该方法用于灌区用水水平综合评价是合理、可行的,同时该方法简单、易懂。
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| 关 键 词： | 评价指标 属性识别 人工神经网络 引黄灌区 |
| 文章编号： | 1672-643X(2005)01-0015-04 |
| 修稿时间： | 2004年7月9日 |
Attribute recognition model to evaluate water utilization level in Yellow river water diversion irrigated areas |
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| Zhang Wen-ge.Attribute recognition model to evaluate water utilization level in Yellow river water diversion irrigated areas[J].Journal of water resources and water engineering,2005,16(1):15-18. |
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| Authors: | Zhang Wen-ge |
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| Affiliation: | Zhang Wen-ge~ |
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| Abstract: | Water utilization level evaluation in Yellow river water diversion irrigated areas is a multi-hierarchy and multi-index question. On the basis of analyzing the existed evaluation methods, the method based on attribute recognition theory to evaluate water utilization level in Yellow river water diversion irrigated areas is put forward and the attribute recognition model to evaluate water utilization level in Yellow river water diversion irrigated areas is established. A case shows that it is rational and feasible to evaluate water utilization level in Yellow river water diversion irrigated areas by using this method, and at the same time this method is simple and can be understood easily. |
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| Keywords: | evaluating index attribute recognition artificial neural network Yellow river water diversion irrigated areas |
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