Automatic survey processing using a MLP neural net

D. Lacrama, Vasile Gherheș, F. Alexa, T. M. Karnyanszky
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Abstract

This paper presents a method to automatically process the education quality assessment quiz test. The propose technique use Pattern Recognition methodology and the final decision is taken using a MLP neural network. The Xj subject's answers are numerically encoded in a descriptor vector VXj. This vector is fed to the net and it decides the Xj's degree of satisfaction or dissatisfaction over the most important characteristics of the educational process in a faculty or a university.
基于MLP神经网络的自动测量处理
本文提出了一种自动处理教育质量评估测验的方法。该技术采用模式识别方法,并使用MLP神经网络进行最终决策。Xj主题的答案在描述符向量VXj中进行数字编码。这个向量被输入到网络中,它决定了Xj对一个学院或一所大学教育过程中最重要的特征的满意或不满意程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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