| 神经网络在洞库防护等级评定中的应 |
| |
| 引用本文： | 许金余,王飞,何强,孙济南,张志刚.神经网络在洞库防护等级评定中的应[J].空军工程大学学报,2002,3(1):67-70. |
| |
| 作者姓名： | 许金余 王飞 何强 孙济南 张志刚 |
| |
| 作者单位： | [1]空军工程大学工程学院，陕西西安710038 [2]沈空设计所，辽宁沈阳110000 |
| |
| 基金项目： | 总后科研基金资助项目 (HX0 0 5 0 2 )，空军拔尖人才科研基金资助项目 |
| |
| 摘 要： | 从国防建设实际出发，基于函数型连接神经网络，采用神经网络一专家系统组成的混合系统方法，建立了洞库防护等级评定系统。该评定系统根据洞库结构特性、地形位置、抗力特性及国防要求，基于给定洞库数据参数，经过神经网络的学习、联想、记忆和分类，能较准确地评定出洞库防护等级。
|
| 关 键 词： | 洞库 防护等级 神经网络 专家系统 |
| 文章编号： | 1009-3516(2002)01-0067-04 |
| 修稿时间： | 2001年3月6日 |
Neural Networks′ Application in Defense Grade Assessment of Caverned Hangar |
| |
| XU Jin-yu,WANG Fei,HE Qiang,SUN Ji-nan,ZHANG Zhi-gang.Neural Networks′ Application in Defense Grade Assessment of Caverned Hangar[J].Journal of Air Force Engineering University(Natural Science Edition),2002,3(1):67-70. |
| |
| Authors: | XU Jin-yu WANG Fei HE Qiang SUN Ji-nan ZHANG Zhi-gang |
| |
| Institution: | XU Jin-yu 1,WANG Fei 1,HE Qiang 2,SUN Ji-nan 1,ZHANG Zhi-gang 1 |
| |
| Abstract: | Based on function linked neural networks, a grade assessment system of caverned hangar is built by means of combined method of neural networks with expert system, at the same time, taking the actual condition of our national defense into consideration. Making use of given data parameters of caverned hangar, such as structural peculiarities, terrain position, force resistance characteristics and the national defense requirement, all of which will be studied, associated, memorized and classified by neural network, and the defense grade of caverned hangar can be accurately assessed. |
| |
| Keywords: | caverned hangar defense grade neural networks expert system |
| 本文献已被 CNKI 维普 等数据库收录！ |
| 点击此处可从《空军工程大学学报》浏览原始摘要信息 |
| 点击此处可从《空军工程大学学报》下载免费的PDF全文 |
|
