现行各种开采地面沉陷预测方法均存在着一个共同的缺陷，均不能在集成以往开采地面沉陷工程实 例的基础上对某一地下采矿工程所引起的地面沉陷进行预测，而只能根据某种物理的或力学的方法对其进行预 测。人类在工程实践中所创造的开采地面沉陷方面的经验是非常宝贵的财富，应当在建立开采地面沉陷预测方 法时加以充分利用。以所收集的开采地面沉陷工程实例为基础现行各种开采地面沉陷预测方法均存在着一个共同的缺陷，均不能在集成以往开采地面沉陷工程实 例的基础上对某一地下采矿工程所引起的地面沉陷进行预测，而只能根据某种物理的或力学的

Current approaches for predicting mining induced surface subsidence have a drawback in common that they predict the subsidence only on the basis of a physical or mechanical approach irrespective of the practical examples in engineering practice in mining induced surface subsidence.However,these experiences created in engineering practice are of great value and full use should be made of them to establish an approach for predicting mining induced surface subsidence.Therefore,this paper accumulated a lot of practical examples of mining induced surface subsidence,integrated these examples by using adaptive neuro-fuzzy inference system (ANFIS)and established an ANFIS-based approach for predicting mining induced surface subsidence.The approach was further tested by using practical examples of mining induced surface subsidence.The results show that the approach can converge quickly,fit the data in very good agreement and make generalization prediction with high accuracy.