| 基于支持向量机的制造业结构变迁趋势预测 |
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| 引用本文： | 刘哲,孙林岩,郭雪松.基于支持向量机的制造业结构变迁趋势预测[J].运筹与管理,2007,16(2):34-39. |
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| 作者姓名： | 刘哲 孙林岩 郭雪松 |
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| 作者单位： | 1. 西安交通大学,管理学院,陕西,西安,710049
2. 西安交通大学,管理学院,陕西,西安,710049;西安交通大学,机械制造系统工程国家重点实验室,陕西,西安,710049 |
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| 摘 要： | 产业结构理论一直是我国学者研究的重点问题。然而,由于产业结构的影响因素众多,因而难以建立有效的计量经济模型。本文建立了微分进化算法的支持向量机模型,有效地解决了产业结构趋势预测问题。同时,以日本主导产业的时间序列数据为例,对制造业结构变迁趋势进行了较为准确的多步预测,从而为我国当前制造业发展趋势提供了有益的借鉴。
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| 关 键 词： | 工业经济 趋势预测 支持向量机 产业结构 |
| 文章编号： | 24365204 |
| 修稿时间： | 10 27 2006 12:00AM |
Study on Trend Forecasting of the Manufacturing Transformation Based on SVM Model |
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| LIU-Zhe,SUN Lin-yan,GUO Xue-song.Study on Trend Forecasting of the Manufacturing Transformation Based on SVM Model[J].Operations Research and Management Science,2007,16(2):34-39. |
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| Authors: | LIU-Zhe SUN Lin-yan GUO Xue-song |
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| Abstract: | It has been an important issue in literatures that the econometrics model of industrial structure is difficult to be established.Support vector machine based on differential evolution algorithm is introduced to resolve this problem in this paper.Through comparing with the industrial structure transformation of Japanese manufacture,some conclusions and implications are put forward to Chinese manufacturing. |
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| Keywords: | industrial economics trend forecasting support vector machine industrial structure |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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