Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Modern Electronics Technique》 2019-08
Add to Favorite Get Latest Update

Efficiency evaluation of airborne embedded training system based on immune optimized RBF network

DENG Xiaozheng;YE Bing;YU Hang;Chinese Flight Test Establishment;School of Aerospace Science and Technology,Xidian University;  
In allusion to the efficiency evaluation problem of a certain new-type trainer airborne embedded training system,an efficiency evaluation algorithm based on the immune optimized RBF network is proposed. The efficiency evaluation is modeled as nonlinear regression. A simple and complete efficiency evaluation index system is established. Automatic clustering is conducted by using the immune clonal optimization algorithm and new encoding mode,so as to obtain appropriate hidden layer unit number and Gauss function center of the RBF network,and complete RBF network training. In the test part,a simulation experiment was carried out. The results show that the method proposed in this paper has better evaluation accuracy and stability in comparison with the classic BP algorithm and genetic BP algorithm.
【Fund】: 国家自然科学基金资助项目(61501352)~~
【CateGory Index】: E251;TP18
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved