Evaluating Operational Effectiveness of Air and Missile Defense Warhead Based on LMBP Neural Network

Xiao Ming Han; Jun Jie Chen; Ke Jiang

doi:10.4028/www.scientific.net/AMM.192.301

Paper Titles

Research for Straightening of TC4 Alloy Wire Rod Based on Horizontal-Vertical Roller System
p.280

Purification and Characterization of an Alkaline Protease from Bacillus alcalophilus
p.285

Study on the Properties of MWNTs/Polyethylene Nanocomposites by In Situ Polymerization
p.289

The Prospect of Nano Vegetable Transformer Oil
p.293

Evaluating Operational Effectiveness of Air and Missile Defense Warhead Based on LMBP Neural Network
p.301

Research on YH30 Hydraulic Press Parts’s Model Expression Based on XML
p.306

PMP-Based Micro-3D Dental Measuring Technology
p.310

Application of FPGA-Based Large-Screen and High-Resolution Display Accelerator in Computerized Flat Knitting Machine
p.318

Realization of Angular Position Control System on Multi-Degree-of-Freedom Welding Robot
p.323

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 192Evaluating Operational Effectiveness of Air and...

Evaluating Operational Effectiveness of Air and Missile Defense Warhead Based on LMBP Neural Network

Abstract:

The air and missile defense warhead is the final unit of destroying target. The evaluation index of warhead is referred to what its combat mission is to achieve the desired target degree in the prescribed conditions and time. It’s also the main index with performance of the air and missile defense. According to the characters of air and missile defense warhead, the evaluation index system of warhead is given. The effect function is introduced to quantitate the evaluation index, and the function equation is given to fit the air and missile defense warhead. On this foundation, the evaluation model of operational effectiveness based on LMBP neural network is presented, then it is validated that the model has a higher value by an example.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 192)

Pages:

301-305

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.192.301

Citation:

Cite this paper

Online since:

July 2012

Authors:

Xiao Ming Han, Jun Jie Chen, Ke Jiang

Keywords:

Air Defense Warhead, LMBP Neural Network, Missile Defense Warhead, Operational Effectiveness

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Defeng Zhang, The applied design of MATLAB neural network [M], Mechanical Industry Press. (2009).

Google Scholar

[2] Wenhe Zhu, Youshou Zhao, The model of evaluation about overall performance on ammunition [J], The Journal of Nanjing University of Science and Technology. 1998 22(2) 125-128.

Google Scholar

[3] Xiaohui Gu, Bing Cao, The synthetic evaluation of warhead overall efficiency [J], Journal of Systems Engineering and Electronics. 2003 14(1) 12-17.

Google Scholar

[4] Ping Yang, Yiming Bin, The comprehensive model and method of evaluating operational effectiveness of conventional warhead, Firepower and Control of Command. 2007 32(12) 69-72.

Google Scholar

[5] LIPPMANN R P, An introduction to computing with neural nets [J], IEEE ASSP. (1987).

Google Scholar

[6] Bing Gao, Qingfeng Guo, The application of BP neural network in the evaluation of electronic efficiency, The Electronic Optics and Control. 2007 14(1) 69-75.

Google Scholar

[7] Jun Huang, Bing Zhang, Yi Lu, The improvement of the assessment of expert's system of weapon's effectiveness on BP network, The Electronic Optics and Control. 2005 12(4) 28-31.

Google Scholar