| 基于L-M算法的中国高教投资供给规模预测 |
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| 引用本文： | 梁斌梅,曾雪兰,梁美莲,韦琳娜.基于L-M算法的中国高教投资供给规模预测[J].广西大学学报(自然科学版),2009,34(5). |
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| 作者姓名： | 梁斌梅 曾雪兰 梁美莲 韦琳娜 |
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| 作者单位： | 广西大学,数学与信息科学学院,广西,南宁,530004 |
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| 摘 要： | 预测高等教育投资供给规模,对于制定高等教育发展规划,确定高等教育发展规模十分必要.高等教育投资供给是一个非线性系统,而神经网络对非线性系统处理效果较好.为了改善预测性能,将神经网络训练算法进行改进.论文分析研究了L-M算法原理,将其用于高教投资供给规模的预测中,并对整个预测过程进行优化.实验结果表明,基于优化L-M算法的高等教育投资供给规模预测模型收敛速度快,泛化能力更优.
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| 关 键 词： | 神经网络 L-M算法 高等教育 投资规模 预测 |
Prediction of investment supply scale for higher education of China based on Levengerg-Marquardt algorithm |
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| LIANG Bin-mei,ZENG Xue-lan,LIANG Mei-lian,WEI Lin-na.Prediction of investment supply scale for higher education of China based on Levengerg-Marquardt algorithm[J].Journal of Guangxi University(Natural Science Edition),2009,34(5). |
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| Authors: | LIANG Bin-mei ZENG Xue-lan LIANG Mei-lian WEI Lin-na |
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| Institution: | LIANG Bin-mei,ZENG Xue-lan,LIANG Mei-lian,WEI Lin-na(College of Mathematics and Information Science,Guangxi University,Nanning 530004,China) |
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| Abstract: | It is necessary to predict the investment supply scale to formulate the development program and determine the scale for higher education of China.Higher education investment supply is a non-linear system,and a good result can be achieved with a neural network.In order to increase the prediction performance,the training algorithm of neural network was improved.The principle of the Levengerg-Marquardt(L-M)algorithm was studied and analyzed in this paper.The L-M algorithm was used to predict the investment sup... |
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| Keywords: | neural network Levengerg-Marquardt algorithm higher education investment scale prediction |
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