A Target Intent Recognition Model Designed and Implemented on TensorFlow Platform
LI Ningan
ZHANG Jian
ZHOU Ti
Abstract：According to the attribute characteristics of the target recognizes the target intent,which is very important for the battlefield to make the next decision. The traditional method of intent recognition requires a lot of prior knowledge and it is difficult to deal with timing problems. The paper adopts a new method of target intent recognition. The method simulates the attribute data of the target at a continuous moment,and performs data preprocessing,and uses the LSTM neural network model for training. Through the simulation data,build and train the LSTM neural network model on the TensorFlow platform,and finally determine the structure and parameters of the network. Experimental result shows that the constructed LSTM network model achieves better results.
Keywords：intention recognitionmodel designsequence problemLSTM networkdata processing
Publication Date：2019-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 26-29 )