Title :
Efficiency Evaluation Method of Simulation System Based on BP Neural Network
Author_Institution :
CETC28 Dept., Lab. of C4ISR, Nanjing, China
Abstract :
At the present time, it is difficult to find some good solutions to evaluate the efficiency of the simulation system yet. According to the Command & Control Simulation System (C2SS), this paper brought forward an evaluation method based on BP neural network to evalutate their efficiency. We built a neural network´s model and described the construction of the swatch and the training process, and then validated them. The outcome indicates that this method based on BP neural network is effective to the evaluation of the C2SS´s efficiency.
Keywords :
backpropagation; command and control systems; digital simulation; neural nets; BP neural network; C2SS; command & control simulation system; efficiency evaluation method; simulation system; Artificial neural networks; Computational modeling; Guidelines; MATLAB; Mathematical model; Reliability; Training; BP arithmetic; BP neural network; Efficiency evaluation; Simulation System; Swatch construction;
Conference_Titel :
Networking and Distributed Computing (ICNDC), 2011 Second International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-0407-9
DOI :
10.1109/ICNDC.2011.16
