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研究生： 張家浚
Chang, Jia-Jun
論文名稱： 建立環境空間特徵之卷積混合類神經網路模型—以不動產估價為例
A Novel Approach Integrating Spatial Factors via Convolutional Operations in Artificial Neural Networks - Real Estate Appraisal as case study
指導教授： 張國楨
Chang, Kuo-Chen
口試委員： 張國楨
Chang, Kuo-Chen
雷祖強
Lei, Tsu-Chiang
陶宏麟
Tao, Hung-Lin
口試日期： 2023/07/01
學位類別： 碩士
Master
系所名稱： 地理學系
Department of Geography
論文出版年： 2024
畢業學年度： 112
語文別： 英文
論文頁數： 38
中文關鍵詞： 空間模型 、卷積類神經網路 、不動產估價
英文關鍵詞： Spatial Modeling, Convolutional Operation, Real Estate Appraisal
研究方法: 實驗設計法
DOI URL： http://doi.org/10.6345/NTNU202400479
論文種類： 學術論文
相關次數： 點閱：69  下載：0 
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    • CHAPTER 1 INTRODUCTION 1 1-1 Background and Motivation 1 1-2 Objectives of The Study 2 1-3 Limitations of The Study 3 1-4 Research Area 3 CHAPTER 2 LITERATURE REVIEW 5 2-1 Traditional Real Estate Appraisal Methods 5 2-1-1 Sales comparison approach 5 2-1-2 Cost Approach 6 2-1-3 Income Approach 7 2-1-4 Hedonic Price Approach 7 2-2 Geographically Weighted Regression 8 2-2-1 Algorithm of Geographically weighted Regression 9 2-2-2 Geographically weighted Regression in Real Estate Appraisal 9 2-3 Deep Learning Techniques 10 2-3-1 Theory of Artificial Neural Network 10 2-3-2 Artificial Neural Network in Real Estate Appraisal 13 CHAPTER 3 METHODOLOGY 15 3-1 Research Design 15 3-2 Materials 16 3-2-1 Pre-processing of the Actual Price Registration Data 17 3-2-2 Pre-processing of Spatial Raster Data 19 3-3 Algorithms 22 3-3-1 Ordinary Least Squared and Geographically Weighted Regression 22 3-3-2 Design of Hybrid Neural Network 23 3-3-3 Training and Benchmark of Neural Networks 23 CHAPTER 4 RESULTS AND DISCUSSION 26 4-1 Pearson Correlation Coefficient Matrix 26 4-2 Results of Linear based Methods 26 4-2-1 Result of Ordinary Least Squared 26 4-2-2 Result of Geographically Weighted Regression 27 4-3 Results of Deep Learning based Methods 27 4-3-1 Result of Multilayer Perception 28 4-3-2 Result of Hybrid Neural Network 29 4-3-3 Benchmark 30 4-3-4 Residual Analysis 31 CHAPTER 5 CONCLUSIONS AND SUGGESTIONS 35 5-1 Conclusions 35 REFERENCES 37

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