| 基于人工神经网络的高考扩招趋势预测研究 |
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| 引用本文： | 丛茂国.基于人工神经网络的高考扩招趋势预测研究[J].辽宁师范大学学报(自然科学版),2004,27(2):172-175. |
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| 作者姓名： | 丛茂国 |
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| 作者单位： | 辽宁师范大学,学生处,辽宁,大连,116029 |
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| 摘 要： | 高考扩招系统足一个“黑箱”,各因素问是否存在因果关系还很模糊,基于人工神经网络自身的特点,采用BP模型,借助MATLAB语言对高考扩招系统进行预测研究．通过对历史数据的处理、程序的设计、网络的训练等进行分析,最终预测出中国未来20年高等教育发展的趋势,为国家相关政策的制定提供参考依据．
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| 关 键 词： | 人工神经网络 高考 扩招 趋势预测 |
| 文章编号： | 1000-1735(2004)02-0172-04 |
| 修稿时间： | 2004年3月20日 |
The Study on the Admission Extentional Trend Based on the Artificial Neuron Network |
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| CONG Mao-guo.The Study on the Admission Extentional Trend Based on the Artificial Neuron Network[J].Journal of Liaoning Normal University(Natural Science Edition),2004,27(2):172-175. |
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| Authors: | CONG Mao-guo |
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| Abstract: | The admission extension system for the examination of students to enter universities is a "black box", i.e. the relations between various factors are still vague.Based on the artificial neuron network and the application of BP model,the prediction study on the admission extension system is carried out with MATLAB language.Through the analysis of the treatment of historic data,the design of programs and network training,the development trend of high education of China in the coming 20 years is predicted,which provides the basis for the government to establish relevant policies. |
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| Keywords: | examination of students to enter universities admission extension artificial neuron network trend prediction of trend |
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