Application of Chaos Ant Colony Neural Network in Slope Stability Analysis

Due to the disadvantages of the ant algorithm used in the combining optimization in continuous space and the demerit of BP algorithm being vulnerable in the local optimum, the dynamics model of chaos ant colony has been introduced into the optimization of weights in neural network model. Therefore, the chaos ant colony neural network can have both extensive mapping ability of neural network and rapid global convergence ability of chaos ant colony algorithm. Then based on the dynamics model of chaos ant colony and neural network, the mode of slope stability analysis was proposed to solve nonlinearity and non-norm problems of slope stability. The slope stability analysis model can avoid such uncertain factors like critical failure surface and slope failure mechanism. The analysis result shows that the mode of slope stability analysis is practical with high efficiency.