An Adaptive Genetic Wavelet Neural Network and Its Application in Risk Assessment for Controlled Flight into Terrain
Xusheng Gan, Yao Dengkai, Yarong Wu, Zhe Dai · Advances in intelligent systems research/Advances in Intelligent Systems Research · 2015
In order to improve the level of safety management and decision-making of Controlled Flight Into Terrain (CFIT), a CFIT risk assessment model based on an adaptive genetic algorithm and wavelet neural network technology is propose.In the model, wavelet neural network can dynamically adjust the parameters of the network by learning the samples, the adjustment of these parameters can effectively reflect the change of each influence factor, and an adaptive genetic algorithm is introduced to solve the selection problem of initial network parameters.The practical example shows that the proposed model has a better assessment performance for CFIT risk.