叙述了基于ANN函数逼近能力的母线保护原理，分析了母线保护物理对象的函数关系，构建了母线保护的人工神经网络模型。
This article indicates the principle for ANN bus protection based on function approximation ability, analyzes the functional relation of bus-bar object and builds the ANN model of bus-bar protection.
理论分析说明这种模糊规则后件参数学习算法是收敛的、所建模糊模型能够以要求的精度逼近已知的实验数据。
The learning algorithm and the characteristics of the fuzzy rules model which can approximate the experiment data are shown to converge to any arbitrary accuracy by the theoretical analysis.
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.
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