@Article{iasc.2020.013938,
AUTHOR = {Meng Wei, Ningxin Zhang, Yuan Tong, Yu Song},
TITLE = {Research on the Advanced Prediction Model of the Tunnel Geological Radar Based on Cluster Computing},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {26},
YEAR = {2020},
NUMBER = {3},
PAGES = {597--607},
URL = {http://www.techscience.com/iasc/v26n3/40019},
ISSN = {2326-005X},
ABSTRACT = {The traditional radar signal detection mode of the analog digital converter 
(ADC) has a low prediction efficiency. Therefore, the advanced prediction model 
of the tunnel geological radar based on the cluster computing was designed. 
The completeness factor of the detection radar signal was calculated by the
computer cluster effect, and then the information extraction and information 
integration of the radar pulse for the radar detection signal was determined. 
Moreover, the multi-order nonlinear regression forecasting model restructured
the received signal. Thus, the prediction of the radar detection signal was 
achieved. In order to ensure the effectiveness of the design, the simulation 
experiment was carried out. Experimental results show that the ahead
prediction model of the geological radar is 25% higher than that of the 
traditional model, which proves the effectiveness of the designed prediction
model.},
DOI = {10.32604/iasc.2020.013938}
}