Model of artificial neural network (ANN)for evaluation of slope stability is established based on the basic principle of artificial neural network. The BP model adopted in this paper is studied and tested by choosing real examples of 70 slopes in Sichuan and Yunnan areas as studying samples. It is proved that the error back-propagation (BP)algorithm is advanced and the prediction model is accurate and useful in practice, for it is a new effective method.
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刘勇健.基于人工神经网络的边坡抗震抗滑稳定性评判方法[J].地震工程学报,2001,23(1):41-45. LIU Yong-jian. A METHOD FOR EVALUATION OF SLOPE STABILITY ON THE BASIS OF NEURAL NETWORK[J]. China Earthquake Engineering Journal,2001,23(1):41-45.