An Adaptive Genetic Wavelet Neural Network and Its Application in Risk Assessment for Controlled Flight into Terrain

作者：Gan Xu Sheng^*; Yao Deng Kai; Wu Ya Rong; Dai Zhe

来源：International Conference on Intelligent Systems Research and Mechatronics Engineering (ISRME), 2015-04-11 to 2015-04-13.

• Controlled flight into terrain
• Risk Assessment
• Genetic algorithm
• Wavelet neural network

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.

• 出版日期2015
• 单位中国人民解放军空军工程大学