本文選題：房地產(chǎn) + 前期價格　； 參考：《現(xiàn)代電子技術(shù)》2017年11期

【摘要】：為了克服單一灰色模型或者BP神經(jīng)網(wǎng)絡(luò)的局限性,提出灰色理論和神經(jīng)網(wǎng)絡(luò)的房地產(chǎn)前期價格預(yù)測模型。該模型采用灰色模型對房地產(chǎn)前期價格的規(guī)律性進(jìn)行分析,BP神經(jīng)網(wǎng)絡(luò)對房地產(chǎn)前期價格的隨機(jī)性進(jìn)行刻畫,實現(xiàn)了優(yōu)勢互補,最后進(jìn)行房地產(chǎn)前期價格預(yù)測具體應(yīng)用實例分析。結(jié)果表明,該模型可以準(zhǔn)確描述房地產(chǎn)前期價格的變化趨勢,提高房地產(chǎn)前期價格的預(yù)測精度,為房地產(chǎn)前期價格預(yù)測提供了一種有效的建模工具。
[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.
【作者單位】： 煙臺大學(xué)文經(jīng)學(xué)院建筑工程系;
【基金】：山東省煙臺大學(xué)文經(jīng)學(xué)院青年科研基金項目(2014QNJJB04)
【分類號】：F299.23;TP183
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本文編號：1742776