Damage Effect Assessment of Battlefield Target Based on PSO and Multiple Neural Network Fusion Algorithm
|
| Title | Damage Effect Assessment of Battlefield Target Based on PSO and Multiple Neural Network Fusion Algorithm |
| Authors | |
| Abstract | The paper proposes an algorithm based on particle swarm optimization (PSO) and intuitionistic fuzzy sets theory. It fuses multiple different neural networks and applies it to the comprehensive assessment of battlefield target damage effect. It adopts PSO algorithm to improve and optimize multiple neural networks of different structure, then confirms the weights of different neural networks, and synthesizes their assessment results as the final output result according to the weight. Apply the algorithm to instance simulation, the result shows its validity and rationality. . |
| Publisher | ACADEMY PUBLISHER |
| Date | 2010-10-01 |
| Source | Journal of Computers Vol 5, No 10 (2010): Special Issue: Selected Papers of The Second International Conference on Signa |
| Rights | Copyright © ACADEMY PUBLISHER - All Rights Reserved.To request permission, please check out URL: http://www.academypublisher.com/copyrightpermission.html. |