Research on the GM(1,1) Method in Nuclear-Explosion-Yield Detection

摘要

For solving the questions that the practical value of the existing nuclear-explosion-yield detecting methods are excessively low, based on the GM(1,1) and the precondition of plenty nuclear explosion test data opened by home and overseas, the new model detecting nuclear explosion yield has been developed, and using the state estimating equation of the data precondition, a kind of new optimal estimation method detecting the nuclear explosion yield and a kind of means identifying the bad data have been established. The result of the validation applying nuclear explosion test data indicated that the new optimal estimation method using the grey theory to estimate the nuclear explosion yield is feasible. Compared with the existing detecting technology, the new estimation method can reduce error range, advance precision, offset the deficiencies of the existing means detecting the nuclear explosion yield, and enlarge the practical application value of the existing estimation models detecting the nuclear explosion yield.