| 基于蚁群算法的R&D支出拟合模型研究 |
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| 引用本文： | 苏屹,李柏洲,刘晓静.基于蚁群算法的R&D支出拟合模型研究[J].情报杂志,2012,31(5):198-201. |
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| 作者姓名： | 苏屹 李柏洲 刘晓静 |
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| 作者单位： | 1. 哈尔滨工程大学经济管理学院 哈尔滨150001
2. 防灾科技学院经济管理系 廊坊065201 |
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| 基金项目： | 国家自然科学基金，黑龙江省科技攻关项目，中央高校基本科研费专项基金 |
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| 摘 要： | 在对已有文献进行整理和分析的基础上,指出单一拟合方法中存在的不足,构建基于组合思想的R&D支出拟合模型,运用蚁群算法求解组合模型中的权重。借鉴已有文献中应用各种单一拟合方法计算得到的数据进行实证研究,实证结论表明:基于蚁群算法的组合模型能够更加准确地拟合出科学研究与实验开发的支出数值。一方面,验证了蚁群算法在该领域运用的科学性与合理性,为相关部门提供了决策依据;另一方面,为蚁群算法在相关领域的进一步发展奠定了基础。
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| 关 键 词： | 蚁群算法 R&D 拟合 技术创新 |
A Model Fitting Analysis of the R&D Expenditure Based on Ant Colony Algorithm |
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| SU Yi
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LI Baizhou
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LIU Xiaojing.A Model Fitting Analysis of the R&D Expenditure Based on Ant Colony Algorithm[J].Journal of Information,2012,31(5):198-201. |
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| Authors: | SU Yi LI Baizhou LIU Xiaojing |
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| Institution: | 1.School of Economics and Management,Harbin Engineering University,Harbin 150001; 2.Department of Economics and Management,Institute of Disaster Prevention Science and Technology,Langfang 065201) |
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| Abstract: | This paper first analyzes the existing articles,finding out shortcomings of single method.With the idea of combination,it then constructs a fitted model of R&D expenditures,in which the weight is determined by the ant colony algorithm.Findings of empirical research show that: the fitted model based on ant colony algorithm can fit more accurately to the scientific research and experimental development expenditures data.This paper,on one hand,verifies that the use of ant colony algorithm in the field is scientific and rational,and provides some guidelines that should help relevant departments to make decisions.On the other hand,it laid a foundation for the ant colony algorithm in the relevant field. |
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| Keywords: | ant colony algorithm R&D fitting technology innovation |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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