针对传统关键层法评价采空区地基稳定性过程烦琐和工作量大等问题,文章运用概率神经网络(PNN)建立评价模型对地基稳定性进行评价,并将得到的评价结果与传统方法相比。结果表明:概率神经网络模型具有收敛速度快、评价精度高等特点。
In view of the problems such as cumbersome process and large workload caused by the traditional key strata method of evaluating foundation stability of goaf, this paper adopts the probabilistic neural network(PNN) to establish the evaluation model to evaluate foundation stability, and compares the evaluation results with those of the traditional methods.The results show that the probabilistic neural network model has the characteristics of fast convergence and high accuracy.