Title :
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
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;
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
DOI :
10.1109/CCDC.2008.4597780
