摘要
通过分析空洞型采空区稳定性的影响因素,依照BP神经网络原理,构建出适合空洞型采空区稳定性评价的BP神经网络模型。再通过收集到的空洞型采空区稳定性样本对所构建的BP神经网络进行训练,得出空洞型采空区稳定性评价BP神经网络模型,并应用检测样本测试其准确性。并以陕北讨老乌素煤矿采空区为例,应用训练好的BP神经网络模型对其进行预测评价,最终得到了与实际情况吻合的结果。
A BP neural network model for evaluation of stability of empty mine goaf was built based on the theory of BP neural network through analysis on the influence factors of empty mine goaf.The BP neural network model was trained by collected samples of empty mine goaf and the logical parameters of BP neural network were acquired and tested by the testing samples for accuracy.Taking Taolaowusu mine goaf as an example,through evaluating its stability with the trained BP neural network,the result identical with actual situation was got.
出处
《西安科技大学学报》
CAS
2012年第2期234-238,258,共6页
Journal of Xi’an University of Science and Technology
