提出了区间模型的逐步逼近求解程序，构建了深部坑道围岩稳定的非概率指标及其分析方法。
A successive approximation solving procedure of interval model was put forward, and the non-probabilistic index expression and its analysis method of deep rock around roadway was formed.
建立马尔可夫模型并由马尔可夫状态转移概率矩阵计算出程序的可靠度。
We also present how to compute the reliability of a program based on factoring method and Markov model.
柔性神经树模型的结构和参数优化分别由概率增强式程序进化和模拟退火算法完成。
The structure and parameters of the flexible neural tree model are optimized by probabilistic incremental program evolution and simulation annealing, respectively.
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