| 改进BP算法的辽宁省人均GDP预测研究 |
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| 引用本文： | 陈楠,邰晓红.改进BP算法的辽宁省人均GDP预测研究[J].科技管理研究,2010,30(13). |
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| 作者姓名： | 陈楠 邰晓红 |
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| 作者单位： | 辽宁工程技术大学工商管理学院,辽宁葫芦岛,125105 |
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| 摘 要： | 由于人均GDP时间序列具有复杂和非线性的特征,传统预测方法在预测分析时往往会产生很大的误差.运用Matlab软件采用不同的改进BP算法来建立和训练网络预测模型,以观测不同算法的精度和有效性;最后运用预测模型对辽宁省人均GDP进行了预测.
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| 关 键 词： | 改进BP算法 时间序列预测 人均GDP |
Prediction Research of the Per Capita GDP of Liaoning Province Based on the Improved BP Algorithm |
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| CHEN Nan,TAI Xiaohong.Prediction Research of the Per Capita GDP of Liaoning Province Based on the Improved BP Algorithm[J].Science and Technology Management Research,2010,30(13). |
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| Authors: | CHEN Nan TAI Xiaohong |
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| Institution: | CHEN Nan,TAI Xiaohong(College of Business Administration,Liaoning Technical University,Huludao 125105,Liaoning) |
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| Abstract: | Because the time series of the per capita GDP is of complex and nonlinear characteristics,traditional forecasting methods tend to produce larger errors.The paper establishes and trains the neural network prediction models by different improved algorithms based on the Matlab software to observe the accuracy and effectiveness of algorithms.The paper finally predicts the per capita GDP of Liaoning province by using this model. |
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| Keywords: | improved BP algorithm time series prediction the per capita GDP |
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