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| 济南市岩溶水动态变化的神经网络模拟及泉水喷涌趋势预测 | |
| 引用本文： | 陈学群,李福林,崔兆杰,张维英,王宗志,宋福山.济南市岩溶水动态变化的神经网络模拟及泉水喷涌趋势预测[J].水文地质工程地质,2005,32(4):60-64. |
| 作者姓名： | 陈学群 李福林 崔兆杰 张维英 王宗志 宋福山 |
| 作者单位： | 1. 山东大学,济南,250013;山东省水利科学研究院,济南,250013 2. 山东省水利科学研究院,济南,250013 3. 山东大学,济南,250013 4. 合肥工业大学,合肥,230061 5. 莱州市水利局,莱州,261400 |
| 基金项目： | 国家自然科学基金 (No .40 2 0 2 0 2 7)，山东省发改委科技资金资助 |
| 摘 要： | 本文根据影响岩溶水位的因素,利用改进的BP神经网络建立一个能够反映济南市泉域岩溶地下水动态变化的随机模型,并进行检验,与运用多元回归模型预测的结果相比较,结果表明:BP神经网络模型进行岩溶地下水动态变化预测是可行的,该模型具有较强的学习、容错和联想功能,对岩溶地下水动态变化的预测精度大大的提高。最后在模拟的基础上,又对泉水喷涌的宏观趋势作了进一步的预测和分析。 |
| 关 键 词： | 岩溶地下水 BP神经网络 预测 |
| 文章编号： | 1000-3665(2005)04-0060-05 |
| 修稿时间： | 2004年6月23日 |
Neural Network Analog on dynamic variation of the karst water and prediction of spewing tendency of the springs in Jinan |
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| CHEN Xue-qun,Li Fu-lin,CUI Zhao-jie,ZHANG Wei-ying,WANG Zong-zhi,SONG Fu-shan.Neural Network Analog on dynamic variation of the karst water and prediction of spewing tendency of the springs in Jinan[J].Hydrogeology and Engineering Geology,2005,32(4):60-64. | |
| Authors: | CHEN Xue-qun Li Fu-lin CUI Zhao-jie ZHANG Wei-ying WANG Zong-zhi SONG Fu-shan |
| Institution: | CHEN Xue-qun 1,2,LI Fu-lin 2,CUI Zhao-jie 1,ZHANG Wei-ying 1,WANG Zong-zhi 3,SONG Fu-shan 4 |
| Abstract: | Considering the factors that affect the karst water level, the improved Neural Network Model has been applied to construct a random model that can analog the dynamic change of the karst water. The accuracy of the analog has greatly been improved, compared with that of multi-line recurrence model. Moreover, the BP model has strong functions of study, fault tolerance and association. In a word, the BP model is an effective tool to predict the dynamic change of karst water. In addition, the spewing tendency of the springs in Jinan is also analyzed based on the predictive results in this paper. |
| Keywords: | Karst water BP Neutral Network prediction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |