The Application of Genetic Algorithm on the Training of Neural Network for Acoustic Target Classification

Author

Hou, Weimin ; Bao, Ming ; Shang, Yan ; Wang, Jing

Author_Institution

Inst. of Inf. Sci. & Eng., Hebei Univ. of Sci. & Technol., Shijiazhuang

fYear

2008

fDate

21-22 Dec. 2008

Firstpage

62

Lastpage

65

Abstract

The paper adopted back-propagation neural network to classify acoustic target the wheeled and tracked vehicles was the researched target of this paper. Genetic Algorithm (GA) was first used to make global search of the suitable combination of the number of hidden nodes, the learning rate and momentum coefficient, the experiment in this paper will show that the neural network trained by GA has better performance in classifying wheeled and tracked target.

Keywords

acoustic signal processing; backpropagation; genetic algorithms; neural nets; signal classification; target tracking; acoustic target classification; back-propagation neural network; genetic algorithm; learning rate; momentum coefficient; neural network training; Acoustic applications; Evolutionary computation; Genetic algorithms; Information science; Information technology; Intelligent networks; Intelligent vehicles; Neural networks; Target tracking; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Technology Application Workshops, 2008. IITAW '08. International Symposium on

Conference_Location

Shanghai

Print_ISBN

978-0-7695-3505-0

Type

conf

DOI

10.1109/IITA.Workshops.2008.94

Filename

4731881