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在提出信息扩散思想的基础上，运用神经元网络研究了煤体－煤体巷道和煤体－煤柱巷道的ｕ０，ｖ０和ｕ１与巷道围岩对每类聚类中心的隶属度、支护强度影响系数、断面影响系数及煤柱宽度的关系，建立了巷道围岩非线性时空演变神经元网络预报模型．并用巷道围岩移近量实测值对所建立的模型进行了检验，取得了满意的结果．
Based on the thought of information diffusion, this paper studies the membership degree of u0, v0 and u1 of coal body - coal and alluvium and the surrounding rock of each kind of cluster center by using neural network, Strength influence coefficient, cross-section influence coefficient and coal pillar width, a model of nonlinear spatio-temporal neural network prediction for surrounding rock of tunnel is established. The measured model was verified by the measured value of the surrounding rock in the roadway, and satisfactory results were obtained.