The Comprehensive Evaluation of Architectural Engineering Geology Based on IACO

The evaluation of architectural engineering geology and the danger of geologic hazard is one of the important contents to achieve a right place for architectural engineering. During the process of solving nonlinear regression model of the evaluation of architectural engineering geology and the danger of geologic hazard through neural network, we come up with a new type of bionic algorithm, that is using the improved ant colony algorithm to train the weights threshold value of neural network. This method has cut down the process of training, avoiding the problem of BP algorithm that is easy to fall into partial extremum. Applying the improved BP algorithm to the model of the evaluation of architectural engineering geology and the danger of geologic hazard, displays the good evaluation ability of the network model, and validates the effectiveness and feasibility of the improved neural network based on ant colony algorithm in the evaluation of architectural engineering geology and the danger of geologic hazard.