Abstract:

The prediction of helicopter tracks for anti-helicopter intelligent mine is very important in a battle. However, it is very difficult to get an accurate and reliable prediction when the data is very limited. The paper makes use of the theory of grey systems to predict helicopter tracks, establishing the GM model of grey systems and the cumulative residual error model of \%n\% degrees, then correcting the GM forecast model. In the period of sampling, GM model and residual error model have been established on line to improve prediction precision. The calculation of living examples indicates that higher prediction precision can be obtained with fewer surveying data.

Key words: gr ey forecast, tra ck, gr ey model