Title :
Neural networks recognition of seismic signal for vehicle targets
Author :
Jinhui, Lan ; Zhaoying, Zhou ; Lan Tian
Author_Institution :
Dept. of Precision Instrum. & Mech., Tsinghua Univ., Beijing, China
Abstract :
A seismic property of vehicle targets is researched and described. An artificial neural networks (ANN) technology is applied to recognition of the seismic signal. An improved BP algorithm is presented. The improved BP algorithm has been used for classification and recognition of the seismic signal for a vehicle target in a special outdoor environment. It can be confirmed that the ANN is effective for solving the problem of classification and recognition of a seismic signal for a vehicle target
Keywords :
backpropagation; neural nets; object recognition; signal classification; BP algorithm; neural networks recognition; outdoor environment; seismic signal; vehicle targets; Artificial neural networks; Automotive engineering; Instruments; Mechanical factors; Neural networks; Space technology; Target recognition; Vehicles;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.863400
