Adaptive and intelligent prediction of deformation time series of high rock excavation slope

摘要

Deformation of high rock excavation slope has nonlinear evolution characters. It is very difficult to build mechanical model to describe this nonlinear evolution. A genetic - neural network model has been initially proposed for adaptive and intelligent prediction of deformation of slopes, which used artificial neural network to represent nonlinear evolution of slope deformation. Number of history points of displacement inputted to the model, topologies of neural network, and learning process of model were adaptive and automatically deter - mined using genetic algorithm.