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基于神经网络的考核成绩评估
引用本文:钟勇,向黎,初大伟,徐世刚.基于神经网络的考核成绩评估[J].兵工自动化,2007,26(12):31-32.
作者姓名:钟勇  向黎  初大伟  徐世刚
作者单位:空军雷达学院,基础部,湖北,武汉,430019;空军雷达学院,训练部,湖北,武汉,430019;解放军94362部队,山东,青岛,266111
摘    要:常用的神经网络包括BP、径向基、径向基概率神经网络等.利用Kohonen神经网络实现对学员的体能考核成绩进行综合评估.其采用N维模式矢量,当网络输入矢量后,Kohonen层中的神经元开始竞争,并利用具有最小欧式范数距离的神经元作为获胜神经元.仿真实验验证了基于Kohonen神经网络的考核成绩评估有效可行.

关 键 词:评估  考核成绩  神经网络
文章编号:1006-1576(2007)12-0031-02
收稿时间:2007-09-03
修稿时间:2007-11-12

Examination Result Evaluation Based on Neural Network
ZHONG Yong,XIANG Li,CHU Da-wei,XU Shi-gang.Examination Result Evaluation Based on Neural Network[J].Ordnance Industry Automation,2007,26(12):31-32.
Authors:ZHONG Yong  XIANG Li  CHU Da-wei  XU Shi-gang
Abstract:Neural network (NN) such as BPNN, RBFNN and RBPNN are always used at present. The Kohonen neural network is used to evaluate the examination result of students. When N dimension model vector is used, the neural cell began to compete with each other when the vector is inputted, and the neural cell which has the least norm bound distance can be considered as the winner. Based on the simulation experiment, the evaluation of examinable result based on neural network is effective and feasible.
Keywords:Evaluation  Examinable result  Neural network
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