基于Matlab Web Server的神经网络目标识别方法  

Target detection method using neural network based on Matlab Web Server

作　　者：周薇娜[1] 胡文骅[1] 卢秀芝 

机构地区：[1]上海海事大学信息工程学院,上海200135

出　　处：《计算机应用》2008年第S2期369-371,共3页journal of Computer Applications

基　　金：上海高校选拔培养优秀青年教师专项基金资助项目(600356)

摘　　要：提出了一个通过网络访问Matlab Web Server从而可以远程实现目标识别的方法。为使Matlab WebServer正常运行,对系统的使用环境进行了一定规则的配置,而进行目标识别的神经网络算法也作了适当的修改以适应所在环境。实验结果表明该系统在远程仿真上是可行的,它克服了目标识别只能单机运行的缺点。To realize the target detection through Internet remotely,a system based on Matlab Web Server was presented.For Matlab Web Server's well running,the system environment should be configured in certain rules,and the artificial neural network arithmetic by which the target was detected was modified to adapt to the environment.The result shows that the system is feasible in remote simulation and it also gets rid of the disadvantage that the target could only be detected on an on-site computer.

关 键 词：Matlab Web SERVER 目标识别 神经网络 远程仿真 

分 类 号：TN215[电子电信—物理电子学] TP183[自动化与计算机技术—控制理论与控制工程]