| 基于遗传算法和BP神经网络岩爆预测 |
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| 引用本文： | 胡敏,陈建宏,陆玉根.基于遗传算法和BP神经网络岩爆预测[J].矿业研究与开发,2011(5):90-94. |
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| 作者姓名： | 胡敏 陈建宏 陆玉根 |
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| 作者单位： | 中南大学资源与安全工程学院;湖南省深部金属矿产开发与灾害控制重点实验室; |
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| 基金项目： | 国家自然科学基金资助项目(50774092); 全国优秀博士学位论文专项资金资助(200449) |
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| 摘 要： | 将BP神经网络与遗传算法相结合,使用遗传算法优化神经网络的权值和阈值,然后用BP算法训练网络,避免了单独使用BP神经网络训练时易于陷入局部极小值的问题,建立了一种新的岩爆预测模型。采集国内外具有代表性的一些岩爆案例作为BP训练样本,将样本数据经过多次迭代之后,达到指定误差停止训练,利用训练好的模型对某铜矿部分岩爆进行预测,预测结果与实际岩爆等级一致。
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| 关 键 词： | BP神经网络 遗传算法 深部开采 岩爆 |
Research on Rock Burst Prediction Based on BP Neural Network and GA |
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| HU Min,CHEN Jianhong,LU Yugen.Research on Rock Burst Prediction Based on BP Neural Network and GA[J].Mining Research and Development,2011(5):90-94. |
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| Authors: | HU Min CHEN Jianhong LU Yugen |
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| Affiliation: | HU Min1,2,CHEN Jianhong1,LU Yugen1,2(1.School of Resources and Safety Engineering,Central South University,Changsha,Hunan 410083,China,2.Hunan Key Laboratory of Mineral Resources Exploitation and Hazard Control for Deep Metal Mines,China) |
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| Abstract: | The authors have adopted genetic algometry(GA) and BP neural networks to build a new model for rock burst prediction.The weights and thresholds of BP neural networks were optimized using GA,then the neural networks were trained using BP algometry,so,solving the problem that traditional BP neural networks lie in absence about constringency rate slowly and easy to fall into local minimum.Then the authors selected some representative rock burst cases at home and abroad as training samples.After the multiple it... |
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| Keywords: | BP neural network Genetic Algorithm Deep mining Rock burst |
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