A METHOD FOR EVALUATION OF SLOPE STABILITY ON THE BASIS OF NEURAL NETWORK
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    Abstract:

    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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  • Received:January 14,2000
  • Online: July 04,2017
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