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The Complex Neural Network Model for Mass Appraisal and Scenario Forecasting of the Urban Real Estate Market Value That Adapts Itself to Space and Time
12 references·0 citing·38 second hop
The Complex Neural Network Model for Mass Appraisal and Scenario Forecasting of the Urban Real Estate Market Value That Adapts Itself to Space and Time (2021)The Complex Neural Network Model for Mass…Predicting property price index using artificial intelligence techniques (2019)Predicting property price ind…Improving property valuation accuracy: a comparison of hedonic pricing model and artificial neural network (2018)Improving property valuation …Assessment of the Real Estate Market Value in the European Market by Artificial Neural Networks Application (2018)Assessment of the Real Estate…Modelling property values in Nigeria using artificial neural network (2017)Modelling property values in …Hedonic Housing Price Theory Review (2016)Hedonic Housing Price Theory …Using geographically weighted regression for housing market segmentation (2014)Using geographically weighted…Prediction accuracy in mass appraisal: a comparison of modern approaches (2013)Prediction accuracy in mass a…The potential of artificial neural networks in mass appraisal: the case revisited (2012)The potential of artificial n…The mass appraisal of the real estate by computational intelligence (2009)The mass appraisal of the rea…An Adaptive Neuro-Fuzzy Inference System Based Approach to Real Estate Property Assessment (2008)An Adaptive Neuro-Fuzzy Infer…Artificial Intelligence and the Mass Appraisal of Residential Apartments (1992)Artificial Intelligence and t…The Allocation of Capital and Time over the Business Cycle (1991)The Allocation of Capital and…An Exploration of Neural Networks and Its Application to Real Estate Valuation (1995)Neural networks: the prediction of residential values (1998)Predicting Housing Value: A Comparison of Multiple Regression Analysis and Artificial Neural Networks (2001)House selling price assessment using two different adaptive neuro-fuzzy techniques (2014)Automated Valuation Model based on fuzzy and rough set theory for real estate market with insufficient source data (2019)The Importance of Economic Variables on London Real Estate Market: A Random Forest Approach (2020)A Computer Movie Simulating Urban Growth in the Detroit Region (1970)Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity (1996)Introduction to Spatial Econometrics (2009)Building real estate valuation models with comparative approach through case-based reasoning (2018)Mass Appraisal Models of Real Estate in the 21st Century: A Systematic Literature Review (2019)Specification and estimation of hedonic housing price models (1992)Developing a Forecasting Model for Real Estate Auction Prices Using Artificial Intelligence (2020)Nature statistics (1989)Using Machine Learning Models and Actual Transaction Data for Predicting Real Estate Prices (2020)A Theory of the Allocation of Time (1965)The Production of Human Capital and the Life Cycle of Earnings (1967)Time to Build and Aggregate Fluctuations (1982)Macroeconomic Priorities (2003)Business Cycle Accounting (2007)The cyclical behavior of equilibrium unemployment and vacancies revisited (2008)Designing a neural network for forecasting financial and economic time series (1996)Forecasting with artificial neural networks: (1998)Mediterranean journal of social sciences (2020)Drivers and implications of digital transformation in property valuation practice in New Zealand (2025)Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition (1974)ON THE VALIDATION OF MODELS (1981)How much is the view from the window worth? Machine learning-driven hedonic pricing model of the real estate market (2022)A Gaussian process regression machine learning model for forecasting retail property prices with Bayesian optimizations and cross-validation (2023)Office real estate price index forecasts through Gaussian process regressions for ten major Chinese cities (2024)Book Review: Time Series Analysis: Forecasting and Control (1977)Another look at measures of forecast accuracy (2006)Neural network hyperparameter optimization for prediction of real estate prices in Helsinki (2021)The Impacts of Open Data and eXplainable AI on Real Estate Price Predictions in Smart Cities (2024)The Impact of Surrounding Land Use and Vegetation on Single-Family House Prices (2004)Artificial Intelligence and Machine Learning Applications in Smart Production: Progress, Trends, and Directions (2020)(Overlooked) Association between Express Bus Station/Stop Proximity and Multifamily Rents with a Surprise about Transit Mode Synergism and Implications for Transit and Land Use Planning (2021)A Latent Customer Flow Model for Interpretable Predictions of Check-In Counts (2021)
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References

  • 1991The Allocation of Capital and Time over the Business Cycle528 cited
  • 2009The mass appraisal of the real estate by computational intelligence179 cited
  • 2013Prediction accuracy in mass appraisal: a comparison of modern approaches174 cited
  • 1992Artificial Intelligence and the Mass Appraisal of Residential Apartments135 cited
  • 2018Improving property valuation accuracy: a comparison of hedonic pricing model and artificial neural network109 cited
  • 2012The potential of artificial neural networks in mass appraisal: the case revisited74 cited
  • 2008An Adaptive Neuro-Fuzzy Inference System Based Approach to Real Estate Property Assessment69 cited
  • 2016Hedonic Housing Price Theory Review65 cited
  • 2017Modelling property values in Nigeria using artificial neural network64 cited
  • 2019Predicting property price index using artificial intelligence techniques63 cited
  • 2014Using geographically weighted regression for housing market segmentation61 cited
  • 2018Assessment of the Real Estate Market Value in the European Market by Artificial Neural Networks Application57 cited

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