| 基于ACO—LS—SVM的房地产价格评估研究 |
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| 引用本文： | 于秀雪,刘志杰.基于ACO—LS—SVM的房地产价格评估研究[J].工程管理学报,2013(5):103-107. |
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| 作者姓名： | 于秀雪 刘志杰 |
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| 作者单位： | 大连理工大学建设工程学部,辽宁大连116023 |
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| 摘 要： | 针对传统房地产估价方法存在较大主观随意性等问题，通过对最小二乘支持向量机（LS-SVM）模型用于房地产估价的优缺点分析，针对其参数选取问题提出了运用蚁群算法（ACO）进行优化，经整合建立了基于蚁群算法优化的最小二乘支持向量机（ACO—LS-SVM）的房地产估价模型。给出了模型的估价算法步骤，并采用Matlab软件编程，以训练样本为基础，用测试样本检验了模型用于商品住宅价格评估的准确性、有效性和可行性。
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| 关 键 词： | 房地产估价 蚁群算法 最小二乘支持向量机 |
Study on the Real Estate Appraisal Based on ACO-LS-SVM |
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| YU Xiu-xue,LIU Zhi-jie.Study on the Real Estate Appraisal Based on ACO-LS-SVM[J].Journal of Engineering Management,2013(5):103-107. |
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| Authors: | YU Xiu-xue LIU Zhi-jie |
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| Affiliation: | ( Faculty of Infrastructure Engineering, Dalian University of Technology, Dalian 116023, China, E-mail： 871869978@qq.com ) |
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| Abstract: | Aiming at solving the problem that the traditional methods of real estate appraisal depend on subjective optional, an evaluation model based on ant colony optimization-based the least squares support vector machine （ACO-LS-SVM） is proposed. By discussing the basic principles of the least squares support vector machine （LS-SVM） model for real estate appraisal, as well as the advantages and disadvantages of the model, it is proposed that people can use ant colony optimization algorithm to select the parameters of the LS-SVM model. On that basis, the basic idea and the algorithm steps of the ACO-LS-SVM model for the real estate appraisal are discussed. A case study demonstrates the application of the ACO-LS-SVM model by the use of the software named as MATLAB. The prediction results are compared with those of traditional methods and BP neural networks and LS-SVM, and the experimental results indicate that the ACO-LS-SVM model can forecast the price of the real estate, with greater accuracy and fewer errors, and it is a feasible and effective method for the real estate appraisal. |
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| Keywords: | real estate appraisal： ACO LS-SVM |
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