Research on the effectiveness evaluation of big data in combat simulation
Xinwu Hu, Pengcheng Luo, Xiaonan Zhang, Jun Wang, Tianren Zhou · 2018
With the development of complex system simulation techniques, computational capabilities, and data management capabilities, the simulation results tend to be big data. There are also high-dimension, high-redundancy, and high-correlation issues among indexes. Based on the above background, a two-layer Autoencoder neural network is used for feature extraction and dimensionality reduction. Then, 10 deep neural network models are established for index learning. The experimental results show that the 32-layer Resent network works best for low-dimensional data effectiveness evaluation.