Analysis on Employment of Graduate with BP Neural Network

Xiaotao Wang, Wang Ping, Xiaobo Wang
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Abstract

A method based on BP neural network was put forward to estimate the probability which a graduate is employed. The paper first introduced the principle of BP neural network. For the analysis of the employment problem of graduates, we adopt the multi-factor fuzzy comprehensive evaluation method of the fuzzy mathematics, which quantified the various data of the student information, and then set up a BP neural network with the Matlab software. Through the test, the error between the Predictive value and the actual value is very small. So this network can be used for the analysis of the employment problem of graduates.
基于BP神经网络的大学生就业分析
提出了一种基于BP神经网络的毕业生录用概率估计方法。本文首先介绍了BP神经网络的原理。对于毕业生就业问题的分析,我们采用模糊数学的多因素模糊综合评价法,对学生信息的各种数据进行量化,然后利用Matlab软件建立BP神经网络。通过测试,预测值与实际值误差很小。因此,该网络可以用于大学生就业问题的分析。
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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