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影响边坡稳定的因素复杂且具有随机和模糊特性。神经网络的性能特征使其适用于解决非确定性的边坡稳定性评价问题。本文建立了边坡稳定性评价的复合神经网络模型，并利用边坡工程的失稳及稳定实例对网络进行训练和测试。计算分析表明，网络模型对于评价边坡的稳定性有较好的适用性。
The factors affecting the slope stability are complex and have random and fuzzy characteristics. The performance characteristics of neural network make it suitable for solving non-deterministic slope stability evaluation problems. In this paper, a composite neural network model of slope stability evaluation is established, and the network is trained and tested by using the instability and stability examples of slope engineering. The calculation and analysis show that the network model has good applicability for evaluating the stability of slope.