Abstract:

The assessment of damage effect for kinetic energy rod （KE-rod） penetration on targets is a complex problem, and the computation is laborious and time consuming because of a large number of KE-rods and thousands of penetrations. Aiming at these problems, a mathematical model is put forward to evaluate the damage effect, the forecast model based on back propagation (BP) neural network is established, the calculative method of hidden layer nodes is given and the BP neural network is improved on the network function node and the dynamic changes of parameters with the error. The simulation results show that 75% of the predicted value based on neural network is distributed with ±10% error and 86% of the predicted value based on neural network is distributed with ±20% error, which validates that the forecast model is reliability and validity.