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基于进化神经网络的冲击地压非线性动力系统建模
Non-linear dynamic modelling of rock burst based on evolutionary neural network
【摘要】 冲击地压是一种危害很大的矿山灾害之一。理论研究表明,冲击地压实质为一种矿山岩体的动力现象,是矿山开采带来的一种动力学灾害。考虑到冲击地压的动力学特点,采用基于免疫进化规划的进化神经网络,进行了冲击地压非线性系统的建模研究。并采用一个矿山实测得到的震级数列,进行了进化神经网络方法的实用性验证,结果表明,进化神经网络,不但模型拟合精度高,而且,其预测性能也较好,是一种进行冲击地压非线性系统建模的较好方法。
【Abstract】 Rock burst is a mining disaster, which can bring large harm. The theory studies have showed that, rock burst is a kind of dynamic phenomenon of mining rock, and is a kind of dynamic disaster coming from mining. Considering the dynamic character of rock burst, the construction non-linear dynamic model of rock burst is studied by evolutionary neural network based on immunized evolutionary programming. At last, the proposed model is tested by a real magnitude series of a mine. The result has showed that, evolutionary neural network model not only has high approaching precision, but also has high predicting precision, and is a good method to construct the non-linear model of rock burst.
- 【文献出处】 岩土力学 ,Rock and Soil Mechanics , 编辑部邮箱 ,2003年S2期
- 【分类号】TD324
- 【被引频次】12
- 【下载频次】339