TY - GEN
T1 - Evaluation method of operation scheme based on recurrent neural networks
AU - Zhang, Li
AU - Wang, Lifeng
AU - Zhou, Yaoming
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/8
Y1 - 2018/8
N2 - Operation scheme evaluation is an important step of prewar planning, a good operation scheme has great impact on the war situation. At present, computer simulation modeling is a common method to solve this problem, but it costs too much time and computing resources. Therefore, this paper provides a new method based on recurrent neural networks (RNNs) for operation scheme evaluation. This method establishes a RNN to fit the original computer simulation model, which completes operation scheme evaluation with less time and computing resources.
AB - Operation scheme evaluation is an important step of prewar planning, a good operation scheme has great impact on the war situation. At present, computer simulation modeling is a common method to solve this problem, but it costs too much time and computing resources. Therefore, this paper provides a new method based on recurrent neural networks (RNNs) for operation scheme evaluation. This method establishes a RNN to fit the original computer simulation model, which completes operation scheme evaluation with less time and computing resources.
KW - Evaluation Method
KW - Operation Scheme
KW - Recurrent Neural Networks
UR - https://www.scopus.com/pages/publications/85072326740
U2 - 10.1109/ICInfA.2018.8812528
DO - 10.1109/ICInfA.2018.8812528
M3 - 会议稿件
AN - SCOPUS:85072326740
T3 - 2018 IEEE International Conference on Information and Automation, ICIA 2018
SP - 1329
EP - 1332
BT - 2018 IEEE International Conference on Information and Automation, ICIA 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE International Conference on Information and Automation, ICIA 2018
Y2 - 11 August 2018 through 13 August 2018
ER -