摘要
断层可破坏煤层的完整性和连续性 ,对采煤工作面的生产具有重要的影响 ,在矿井投产前 ,必须准确地查明采区内的断层情况。文章运用动量法和自适应调整学习率的改进 BP神经网络 ,选取 5个地震特征参数进行了断层推断。结果表明 ,改进
As faults in the mining section have great effect on the production of the working face, they must be recognized before mining. Based on the improved BP neural network analysis, five seismic characteristic parameters are adopted to recognize faults. The results indicate that the improved BP neural network is an effective tool for fault recognition.
出处
《合肥工业大学学报（自然科学版）》
CAS
CSCD
2001年第5期890-893,共4页
Journal of Hefei University of Technology：Natural Science
基金
国家自然科学基金资助项目 ( 5 97740 0 5 )
