| 人工神经网络在岩溶水资源评价中的应用 |
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| 引用本文： | 周 翔,朱学愚.人工神经网络在岩溶水资源评价中的应用[J].中国岩溶,1999,18(4):337-341. |
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| 作者姓名： | 周 翔 朱学愚 |
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| 作者单位： | 南京大学地球科学系,南京 |
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| 摘 要： | 本文通过采用并加以改进的误差反向传播人工神经网络( BPN)算法,使网络收剑速度加快和避免局部极小。在此基础上建立了岩溶水模拟模型,同时以济南为例对模型进行了应用验证。拟合结果表明,该方法对于岩溶水资源评价具有较大的适用性。
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| 关 键 词： | 人工神经网络 误差后传算法 岩溶水 |
| 修稿时间： | : |
APPLICATION OF NEURAL NETWORK
IN KARSTWATER EVALUATION |
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| Zhou Xiang and Zhu Xueyu.APPLICATION OF NEURAL NETWORK
IN KARSTWATER EVALUATION[J].Carsologica Sinica,1999,18(4):337-341. |
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| Authors: | Zhou Xiang and Zhu Xueyu |
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| Institution: | Nanjing University, Nanjing 210093, China |
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| Abstract: | A new neural
network-based model for karst ground water resources is presented. In the model, the
backpropagation algorithm is used to train the network, and the conjugate gradient method
is used to speed up the convergence and to improve performance. To demonstrate the
procedures and performance of the model, the case of Jinan area is selected for analysis
and discussion. The results indicate that the method is feasible. |
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