Pressure forecasting of submarine-borne missile cover system based on neural network evolved by genetic algorithm

A pressure forecasting method of submarine-borne missile cover system based on neural network evolved by genetic algorithm is proposed. Genetic algorithm is made completely self-adaptive depending on individual fitness. In addition, a stochastic gene offset operation is used that improves the initial evolving velocity of the genetic algorithm. Training results showed that dummy function formed from optimum neural network has a good adaptability and can reflect the internal relation of samples. Using this method, the pressure of submarine-borne missile cover system has been forecasted accurately. So the method can be used to forecast the pressure characteristics of submarine-borne missile cover system fast and accurately.