Forecasting of air-raid weapon quantity of the opposed side based on GA-BP Algorithm
Jibin Liu · Electronics Optics & Control · 2007
In order to acquire optimum operational efficiency when the air-defence force resources are limited,it is needed to forecast the quantity of the opposed side used in air-raid operation.We put forward a new method for training the weights of neural network by genetic algorithm based on the combination of genetic algorithm(GA) and back propagation(BP) neural network models.We used it for forecasting the quantity of the weapons enemy may used for attacking ground object groups.Then we compared the method with the back propagation algorithm and gray system theory models.The result showed that the value calculated out was close to the real value,and the method proposed here is better than BP algorithm and gray system theory model.