| 尾矿坝监测数据分析的RBF神经网络方法 |
| |
| 引用本文： | 谢振华,陈庆.尾矿坝监测数据分析的RBF神经网络方法[J].金属矿山,2006(10):69-70,74. |
| |
| 作者姓名： | 谢振华 陈庆 |
| |
| 作者单位： | 北京科技大学 |
| |
| 摘 要： | 尾矿坝监测是保证尾矿坝安全运行的重要手段之一。建立了尾矿坝监测数据分析的RBF神经网络模型，并利用实际数据对此网络进行了训练和检验。最终将其检验结果与经过优化设计的BP神经网络的检验结果进行了比较，表明RBF神经网络的性能更为优越。
|
| 关 键 词： | 尾矿坝监测 RBF神经网络 函数逼近 |
| 收稿时间： | 2006-08-01 |
| 修稿时间： | 2006-08-01 |
RBF Neural Network Method for Analyzing Monitoring Data of Tailings Dam |
| |
| Xie Zhenhua,Chen Qing.RBF Neural Network Method for Analyzing Monitoring Data of Tailings Dam[J].Metal Mine,2006(10):69-70,74. |
| |
| Authors: | Xie Zhenhua Chen Qing |
| |
| Affiliation: | University of Science and Technology Beijing |
| |
| Abstract: | Monitoring of tailings dam is one of the important means to ensure the safety operation of tailings dam.A RBF(radial basis function) neural network model for analyzing the monitoring data of tailings dam was established,and then trained and tested using practically collected data.The test results were compared with those of the optimized BP(back propagation) neural network,which indicates that RBF neural network is superior in performances. |
| |
| Keywords: | Monitoring of tailings dam RBF neural network Function approximation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
