Using ridge regression with genetic algorithm to enhance real estate appraisal forecasting

No abstract is available for this paper.

• Publication year

  2012

• Venue

  Expert systems with applications

• Publication date

  2012-07-01

• Fields of study

  Business, Computer Science

• Identifiers
  DOI 10.1016/j.eswa.2012.01.183
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Usefulness of support vector machine to develop an early warning system for financial crisis

  2011cited by this paper
• Integrating independent component analysis-based denoising scheme with neural network for stock price prediction

  2010cited by this paper
• Income, Value, and Returns in Socially Responsible Office Properties

  2010cited by this paper
• Predicting House Prices with Spatial Dependence: A Comparison of Alternative Methods

  2010cited by this paper
• Prediction of uniaxial compressive strength and modulus of elasticity for Travertine samples using regression and artificial neural networks

  2010cited by this paper
• Neural Network Hedonic Pricing Models in Mass Real Estate Appraisal Authors

  2009cited by this paper
• Using neural networks and data mining techniques for the financial distress prediction model

  2009cited by this paper
• Intelligent forecasting for financial time series subject to structural changes

  2009cited by this paper
• Knowledge discovery in corporate events by neural network rule extraction

  2008cited by this paper
• Prediction of Housing Location Price by a Multivariate Spatial Method: Cokriging

  2007cited by this paper
• Decision support for housing customization: A hybrid approach using case-based reasoning and genetic algorithm

  2006cited by this paper
• A comparison of supervised and unsupervised neural networks in predicting bankruptcy of Korean firms

  2005cited by this paper
• Using genetic algorithm to support portfolio optimization for index fund management

  2005cited by this paper
• Predicting the exchange traded fund DIA with a combination of genetic algorithms and neural networks

  2004cited by this paper
• Urban regeneration, property performance and office markets in Dublin

  2004cited by this paper
• International evidence on the predictability of returns to securitized real estate assets: econometric models versus neural networks

  2003cited by this paper
• Residential property price time series forecasting with neural networks

  2002cited by this paper
• Insights into neural-network forecasting of time series corresponding to ARMA(p,q) structures

  2001cited by this paper
• Predicting Housing Value: A Comparison of Multiple Regression Analysis and Artificial Neural Networks

  2001cited by this paper
• Using change-point detection to support artificial neural networks for interest rates forecasting

  2000cited by this paper
• REIT Characteristics and the Sensitivity of REIT Returns

  2000cited by this paper
• The application of intelligent hybrid techniques for the mass appraisal of residential properties

  1999cited by this paper
• A case-based reasoning approach to the selection of comparable evidence for retail rent determination

  1997cited by this paper
• Residential construction demand forecasting using economic indicators: a comparative study of artificial neural networks and multiple regression

  1996cited by this paper
• An Exploration of Neural Networks and Its Application to Real Estate Valuation

  1995cited by this paper
• A comment on methodology and valuation

  1995cited by this paper
• Intelligent stock trading system with price trend prediction and reversal recognition using dual-module neural networks

  1993cited by this paper
• Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence, by John H. Holland MIT Press (Bradford Books), Cambridge, Mass., 1992, xiv+211 pp. (Paperback £13.50, cloth £26.95)

  1993cited by this paper
• Influence measures in ridge regression

  1988cited by this paper
• Genetic Algorithms in Search Optimization and Machine Learning

  1988cited by this paper
• Applied Regression Analysis.

  1967cited by this paper

• Elevating transportation models: A comparative study of variable selection techniques for predictive performance

  2026cites this paper
• Toward explainable and scalable property valuation via BIM and GA-enhanced ensemble learning

  2025cites this paper
• Artificial intelligence models in real estate forecasting: a machine learning approach for sustainable urban construction in Saudi Arabia

  2025cites this paper
• Proposal of some metaheuristic optimization oriented biasing parameter selection methods in Almon distributed lag model: link between air pollution and mortality

  2025cites this paper
• Unleashing the Power of AI: Transforming Marketing Decision-Making in Heavy Machinery with Machine Learning, Radar Chart Simulation, and Markov Chain Analysis

  2024cites this paper
• Total Least Squares Estimation in Hedonic House Price Models

  2024cites this paper
• Exploration on Environmental Causes of Coral Bleaching

  2024cites this paper
• AI-Driven Transformation: Revolutionizing Production Management with Machine Learning and Data Visualization

  2024cites this paper
• Optimizing valuation accuracy in Kenya’s real estate market: Application of supervised machine learning models

  2024cites this paper
• Developing a Genetic Algorithm for Selecting Infrastructure Modifications that Optimize Hydrodynamic Flushing in Old Tampa Bay

  2024cites this paper
• RHPMF: A context-aware matrix factorization approach for understanding regional real estate market

  2023cites this paper
• Some Modified Ridge Estimators for Handling the Multicollinearity Problem

  2023cites this paper
• Application of deep neural networks for inferring pressure in polymeric acoustic transponders/sensors

  2023cites this paper
• Interpreting Housing Prices with a MultidisciplinaryApproach Based on Nature-Inspired Algorithms and Quantum Computing

  2023cites this paper
• Valoración automática de inmuebles residenciales mediante modelos de Machine Learning

  2023cites this paper
• Optimizing XGBoost Performance for Fish Weight Prediction through Parameter Pre-Selection

  2023cites this paper
• ST-RAP: A Spatio-Temporal Framework for Real Estate Appraisal

  2023cites this paper
• A tensor based price evaluation approach for the used mobile phone recycling

  2023cites this paper
• DoRA: Domain-Based Self-Supervised Learning Framework for Low-Resource Real Estate Appraisal

  2023cites this paper
• An Innovative Method to Predict Real Estate Prices Using Convolutional Block Attention Module

  2023cites this paper
• An adaptive-neuro-fuzzy-inference-system based grading model to estimate the value of the residential real estate considering the quality of property location within the neighborhood

  2023cites this paper
• Interpretable Multi-Modal Stacking-Based Ensemble Learning Method for Real Estate Appraisal

  2023cites this paper
• MskAge—An Epigenetic Biomarker of Musculoskeletal Age Derived From a Genetic Algorithm Islands Model

  2023cites this paper
• Do real estate investment companies profit from house price growth? Evidence from Portugal

  2023cites this paper
• A BP Neural Network‐Based GIS‐Data‐Driven Automated Valuation Framework for Benchmark Land Price

  2022cites this paper
• Learning Vector Quantization based predictor model selection for hourly load demand forecasting

  2022cites this paper
• A deep learning framework with convolutional long short‐term memory for influenza‐like illness trend estimation

  2022cites this paper
• Methods and models of real estate mass appraisal

  2022cites this paper
• Forecasting the medium-term performance of restructured tourism firms with an adaptive integrated predictor

  2022cites this paper
• Look Around! A Neighbor Relation Graph Learning Framework for Real Estate Appraisal

  2022cites this paper
• Densely Connected Neural Networks for Nonlinear Regression

  2021cites this paper
• Research on the Effect of Artificial Intelligence Real Estate Forecasting Using Multiple Regression Analysis and Artificial Neural Network: A Case Study of Ghana

  2021cites this paper
• MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal

  2021cites this paper
• Genetic algorithm application for real estate market analysis in the uncertainty conditions

  2021cites this paper
• A BIM and machine learning integration framework for automated property valuation

  2021cites this paper
• Genetic algorithm application for real estate market analysis in the uncertainty conditions

  2021cites this paper
• Metrics for evaluating the performance of machine learning based automated valuation models

  2021cites this paper
• Exploring the Effects of Contextual Factors on Residential Land Prices Using an Extended Geographically and Temporally Weighted Regression Model

  2021cites this paper
• Hyperspectral inversion of nitrogen content in maize leaves based on different dimensionality reduction algorithms

  2021cites this paper
• Using a Genetic Algorithm to Build a Volume Weighted Average Price Model in a Stock Market

  2021cites this paper
• A Mean-Variance Optimization Approach for Residential Real Estate Valuation

  2021cites this paper
• Comparing ordinary ridge and generalized ridge regression results obtained using genetic algorithms for ridge parameter selection

  2020cites this paper
• Deep Residual Learning for Nonlinear Regression

  2020cites this paper
• Optimal Project Planning for Public Rental Housing in South Korea

  2020cites this paper
• Developing a Forecasting Model for Real Estate Auction Prices Using Artificial Intelligence

  2020cites this paper
• Using Machine Learning Models and Actual Transaction Data for Predicting Real Estate Prices

  2020influential citation
• Forecasting house prices in Iran using GMDH

  2020cites this paper
• On the predictability of U.S. stock market using machine learning and deep learning techniques

  2020cites this paper
• BIM - based machine learning engine for smart real estate appraisal

  2020cites this paper
• Genetic Algorithm as Automated Valuation Model Component in Real Estate Investment Decisions System

  2020cites this paper
• Implementation and validation of new optimization methods by genetic algorithm for two‐parameter ridge estimator

  2020influential citation
• Development of an Innovative Land Valuation Model (iLVM) for Mass Appraisal Application in Sub-Urban Areas Using AHP: An Integration of Theoretical and Practical Approaches

  2019cites this paper
• Mass Appraisal Models of Real Estate in the 21st Century: A Systematic Literature Review

  2019cites this paper
• Analysis of different approaches to real estate appraisal

  2019influential citation
• Optimal determination of the parameters of some biased estimators using genetic algorithm

  2019cites this paper
• Forecasting Daily Crude Oil Prices Using Improved CEEMDAN and Ridge Regression-Based Predictors

  2019cites this paper
• Valuation of Real Estate: A Multiple Regression Approach

  2019cites this paper
• Using Genetic Algorithms to Develop a Dynamic Guaranteed Option Hedge System

  2019cites this paper
• Comparisons of Different Data-Driven Modeling Techniques for Predicting Tensile Strength of X70 Pipeline Steels

  2019cites this paper
• Trends in Computer Science and Information Technology

  2018cites this paper
• Genetic Algorithm-based Optimal Investment Scheduling for Public Rental Housing Projects in South Korea

  2018cites this paper
• A similarity measure for the cardinality constrained frontier in the mean–variance optimization model

  2018cites this paper
• To regularize or not: Revisiting SGD with simple algorithms and experimental studies

  2018cites this paper
• An intelligent price-appraisal algorithm based on grey correlation and fuzzy mathematics

  2018cites this paper
• Artificial Neural Networks and the Mass Appraisal of Real Estate

  2018cites this paper
• Real Estate valuation and forecasting in non-homogeneous markets: A case study in Greece during the financial crisis

  2018cites this paper
• Shrinkage Parameters for Each Explanatory Variable Found Via Particle Swarm Optimization in Ridge Regression

  2018cites this paper
• Fractional-order sliding mode control for hybrid drive wind power generation system with disturbances in the grid

  2018cites this paper
• Pattern Matching Trading System Based on the Dynamic Time Warping Algorithm

  2018cites this paper
• Automating the land valuation process carried out in land consolidation schemes

  2018cites this paper
• Sustainable market valuation of buildings by the single-valued neutrosophic MAMVA method

  2017cites this paper
• Particle swarm optimization based Liu-type estimator

  2017influential citation
• Genetic Algorithms for Cross-Calibration of Categorical Data

  2017cites this paper
• Chaos analysis of real estate auction sale price rate time series

  2017cites this paper
• ustainable market valuation of buildings by the single-valued eutrosophic MAMVA method dmundas

  2017cites this paper
• Using Genetic Algorithms for Real Estate Appraisals

  2017cites this paper
• A spatially based artificial neural network mass valuation model for land consolidation

  2017cites this paper
• Auction price prediction:an instance-transfer learning approach

  2016cites this paper
• Spatially varying coefficient models in real estate: Eigenvector spatial filtering and alternative approaches

  2016influential citation
• Frameworks of Big Data based Web Data Attribute Analysis for Home Sales Index Prediction

  2016cites this paper
• Home sales index prediction model based on cluster and principal component statistical approaches in a big data analytic concept

  2016cites this paper
• GIS-BASED AUTOMATED VALUATION MODELS ( AVM S ) FOR LAND CONSOLIDATION SCHEMES

  2016cites this paper
• Nekilnojamojo turto sektoriaus krizės prevencijos sprendimų paramos sistemos sukūrimas

  2015cites this paper
• An improved spatial error model for the mass appraisal of commercial real estate based on spatial analysis: Shenzhen as a case study

  2015cites this paper
• A GIS-based hedonic price model for agricultural land

  2015cites this paper
• The ridge method in a radial basis function neural network

  2015cites this paper
• Using Genetic Algorithms in the Housing Market Analysis

  2015cites this paper
• A new methodology for carbon price forecasting in EU ETS

  2015cites this paper
• Finding Optimal Value for the Shrinkage Parameter in Ridge Regression via Particle Swarm Optimization

  2014influential citation
• On Weighted Support Vector Regression

  2014cites this paper
• An integrated cost-based approach for real estate appraisals

  2014cites this paper
• Investigating of the using of new computer technologies based on mathematical economic models of property valuations

  2014cites this paper
• MASTER’S PROGRAMME IN URBAN MANAGEMENT AND DEVELOPMENT

  2013cites this paper
• Towards Explainable and Scalable 1 Property Valuation via BIM and GA-2 Enhanced Ensemble Learning

  year unknowncites this paper