Application of Wavelet Neural Network in the Safety Evaluation of Ferry in Nanjing Yangtze River

The security of ferry shows the characteristics of dynamics, randomness and uncertainty, and the system of its security is a typical non-linear system. Due to the limitations of traditional mathematical methods solving the non-linear system, this paper applies the wavelet neural network model for safety evaluation based on the assessment index system and weight algorithm. Results prove that the wavelet neural network model can solve the evaluation problems in the non-linear system, and it can do better than the BP artificial neural networks in fitting accuracy and convergence rate, so the application of wavelet neural network model has an important value.