Effectiveness assessment of radar of air defense based on LMBP neural network

Author

Ke-xin, Li ; Guo-xin, Xu ; Hong-sen, Xia ; Feng, Cai

Author_Institution

Dept. of Electron. Reconnaissance, Shenyang Artillery Acad., Shenyang

fYear

2008

fDate

2-4 July 2008

Firstpage

2527

Lastpage

2530

Abstract

Radar of air defence forces is an important embodiment for battle effectiveness of air defence forces. It is an urgent task to evalate its effectiveness. Based on the weaponpsilas use in the battlefield, this paper analyses the operational effectiveness indicators of radar of air defense forces, expatiates the theory of BP neural network, rewrites the LMBP algorithm, and establishes a model by forward neural network. At last, use the MATLAB toolbox to emulate. The practical calculation shows the method is superior to others.

Keywords

backpropagation; defence industry; neural nets; performance evaluation; radar; MATLAB toolbox; air defence forces; backpropagation neural network; battle effectiveness; forward neural network; operational effectiveness indicators; radar; Algorithm design and analysis; Arithmetic; Electronic mail; MATLAB; Mathematical model; Neural networks; Radar theory; Reconnaissance; Samarium; Weapons; LMBP neural network; effectiveness assessment; radar of air defense forces;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference, 2008. CCDC 2008. Chinese

Conference_Location

Yantai, Shandong

Print_ISBN

978-1-4244-1733-9

Electronic_ISBN

978-1-4244-1734-6

Type

conf

DOI

10.1109/CCDC.2008.4597780

Filename

4597780