基于灰色理论和神经网络的房地产前期价格预测研究

发布时间：2018-04-13 03:37

  本文选题：房地产 + 前期价格　； 参考：《现代电子技术》2017年11期

【摘要】：为了克服单一灰色模型或者BP神经网络的局限性,提出灰色理论和神经网络的房地产前期价格预测模型。该模型采用灰色模型对房地产前期价格的规律性进行分析,BP神经网络对房地产前期价格的随机性进行刻画,实现了优势互补,最后进行房地产前期价格预测具体应用实例分析。结果表明,该模型可以准确描述房地产前期价格的变化趋势,提高房地产前期价格的预测精度,为房地产前期价格预测提供了一种有效的建模工具。
[Abstract]:In order to overcome the limitation of single grey model or BP neural network, a real estate price prediction model based on grey theory and neural network is proposed.This model uses grey model to analyze the regularity of the real estate pre-price. The BP neural network is used to describe the randomness of the pre-real estate price, and the advantages are complementary. Finally, the application examples of the pre-real estate price prediction are analyzed.The results show that the model can accurately describe the change trend of the real estate pre-price, improve the prediction accuracy of the pre-real estate price, and provide an effective modeling tool for the pre-real estate price prediction.
【作者单位】： 烟台大学文经学院建筑工程系;
【基金】：山东省烟台大学文经学院青年科研基金项目(2014QNJJB04)
【分类号】：F299.23;TP183
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本文编号：1742776