Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 23-26 |
| Number of pages | 4 |
| Journal | Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology |
| Volume | 26 |
| Issue number | 1 |
| Publication status | Published - Jan 2006 |
Keywords
- Genetic algorithm
- Neural network
- Robust algorithm
- Stochastic gene offset
- Submarine-borne launcher
- Submarine-borne missile