| 遗传神经网络法在巷道围岩松动圈预测中的应用 |
| |
| 引用本文： | 薛新华.遗传神经网络法在巷道围岩松动圈预测中的应用[J].岩土工程技术,2006,20(5):237-239,266. |
| |
| 作者姓名： | 薛新华 |
| |
| 作者单位： | 浙江大学岩土工程研究所,浙江杭州,310027 |
| |
| 摘 要： | 针对BP人工神经网络具有易陷入局部极小等缺陷,提出了将遗传算法与神经网络结合,同时优化网络结构的权值与阈值的思想,建立了基于遗传算法的围岩松动圈预测的神经网络模型。用该模型对巷道围岩松动圈厚度进行了预测并与BP预测结果相比较。结果表明,该遗传神经网络模型可靠,预测精度高,用来对围岩松动圈厚度进行预测是有效的和可行的。
|
| 关 键 词： | 遗传算法 松动圈厚度 预测 围岩 |
| 文章编号： | 1007-2993(2006)05-0237-03 |
| 修稿时间： | 2006年6月19日 |
Application of Algorithm Neural Network Method in the Prediction of Loosen Zone Around Roadway |
| |
| Xue Xinhua.Application of Algorithm Neural Network Method in the Prediction of Loosen Zone Around Roadway[J].Geotechnical Engineering Technique,2006,20(5):237-239,266. |
| |
| Authors: | Xue Xinhua |
| |
| Abstract: | Considering some defects of BP Neural Network,the idea that the power size and the threshold value of the network structure is optimized by combining genetic algorithm with neural network is presented.Based on genetic algorithm,the prediction model of loosen zone around roadway is built.Finally,the prediction on the thickness of the loosen zone around roadway is made with this GA-BP model,and the results are compared with the BP predicting results.The result shows that the GA-BP model is reliable and precise,and it is effective and feasible to predict the thickness of the loosen zone around roadway. |
| |
| Keywords: | genetic algorithm thickness of the loosen zone prediction surrounding rock mass |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
