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Forecasting for second-hand house prices in China using the GA-PSO-BP neural-network model. (Excel Dataset and Python Code)

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Figshare2025-01-09 更新2026-04-28 收录
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https://figshare.com/articles/dataset/Forecasting_for_second-hand_house_prices_in_China_using_the_GA-PSO-BP_neural-network_model_Excel_Dataset_and_Python_Code_/28171337
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The study highlights the model's effectiveness in forecasting prices for second-hand houses, particularly in rapidly growing urban areas like Guangzhou. This research provides accurate and reliable insights for real estate investors considering second-hand housing markets in China.The above attachments contain the data set and the final Python code for the research work
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2025-01-09
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