Research on Prediction of HF Available Frequency Based on Single Characteristic of LSTM
SHANG Jiaokai
ZHANG Haiyong
XU Chi
XU Ming
Abstract：HF frequency is a non-linear time series varying with the ionosphere. The long short-term memory artificial neural network model is used to deal with the non-linear relationship of time series. The available frequency of HF is used as a single char-acteristic input to predict available frequencies through the nonlinear time series operation of funture. Several time series algorithms are introduced, and the simulation results are obtained through the Python platform. The prediction results of the corresponding algo-rithms are obtained, and the prediction results are compared and analyzed. The long short-term memory artificial neural network model with the faster running time and the best effect is more suitable for the prediction of the maximum usable frequency of HF com-munication between two points.
Keywords：maximum usable frequencyLSTMnon-linear time series
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( 76-78,88 )