SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
A hybrid SOFM-SVR with a filter-based feature selection for stock market forecasting
12 references·16 citing·35 second hop
A hybrid SOFM-SVR with a filter-based feature selection for stock market forecasting (2008)A hybrid SOFM-SVR with a filter-based fea…Credit scoring with a data mining approach based on support vector machines (2006)Credit scoring with a data mi…Application of support vector machines to corporate credit rating prediction (2006)Application of support vector…Hybrid genetic algorithms and support vector machines for bankruptcy prediction (2005)Hybrid genetic algorithms and…Forecasting stock market movement direction with support vector machine (2004)Forecasting stock market move…A hybrid ARIMA and support vector machines model in stock price forecasting (2004)A hybrid ARIMA and support ve…Support vector machine with adaptive parameters in financial time series forecasting (2003)Support vector machine with a…Financial time series forecasting using support vector machines (2003)Financial time series forecas…Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Credit rating analysis with s…Application of support vector machines in financial time series forecasting (2001)Application of support vector…Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index (2000)Genetic algorithms approach t…Introduction to financial forecasting (1996)Introduction to financial for…Stock market prediction system with modular neural networks (1990)Stock market prediction syste…Pearson Correlation Coefficient-Based Performance Enhancement of Broad Learning System for Stock Price Prediction (2022)Pearson Correlation Coefficie…A survey on machine learning models for financial time series forecasting (2022)A survey on machine learning …Feature selection and deep neural networks for stock price direction forecasting using technical analysis indicators (2021)Feature selection and deep ne…Artificial Intelligence Applied to Stock Market Trading: A Review (2021)Artificial Intelligence Appli…Convolution on neural networks for high-frequency trend prediction of cryptocurrency exchange rates using technical indicators (2020)Convolution on neural network…A novel deep learning framework: Prediction and analysis of financial time series using CEEMD and LSTM (2020)A novel deep learning framewo…Combining the wisdom of crowds and technical analysis for financial market prediction using deep random subspace ensembles (2018)Combining the wisdom of crowd…Pattern graph tracking-based stock price prediction using big data (2017)Pattern graph tracking-based …Proximal support vector machine based hybrid prediction models for trend forecasting in financial markets (2016)Proximal support vector machi…An adaptive stock index trading decision support system (2016)An adaptive stock index tradi…A novel hybrid model using teaching–learning-based optimization and a support vector machine for commodity futures index forecasting (2015)A novel hybrid model using te…A causal feature selection algorithm for stock prediction modeling (2014)A causal feature selection al…A hybrid stock selection model using genetic algorithms and support vector regression (2011)A hybrid stock selection mode…A hybrid procedure for stock price prediction by integrating self-organizing map and genetic programming (2011)A hybrid procedure for stock …Stock trend prediction based on fractal feature selection and support vector machine (2010)Stock trend prediction based …Combining independent component analysis and growing hierarchical self-organizing maps with support vector regression in product demand forecasting (2010)Combining independent compone…Time Series Analysis Forecasting and Control. (1971)Time Series Analysis: Forecasting and Control (1977)Time series forecasting using a hybrid ARIMA and neural network model (2003)Surveying stock market forecasting techniques – Part II: Soft computing methods (2008)A novel hybridization of artificial neural networks and ARIMA models for time series forecasting (2010)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Forecasting with artificial neural networks: (1998)Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)Stock market's price movement prediction with LSTM neural networks (2017)CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK* (1964)Investigating Causal Relations by Econometric Models and Cross-spectral Methods (1969)Financial Forecasting Using Support Vector Machines (2001)Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm (2010)Forecasting daily stock market return using dimensionality reduction (2016)The Cross-Section of Expected Stock Returns (1992)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)A Discriminant Analysis of Predictors of Business Failure (1972)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Consumer credit-risk models via machine-learning algorithms (2010)Neural network credit scoring models (2000)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)Machine behaviour (2019)Designing a neural network for forecasting financial and economic time series (1996)Financial time series forecasting using independent component analysis and support vector regression (2009)Support vector regression with chaos-based firefly algorithm for stock market price forecasting (2012)Financial time series forecasting with multi-modality graph neural network (2021)How effective are neural networks at forecasting and prediction? A review and evaluation (1998)An Adaptive Network-Based Fuzzy Inference System (ANFIS) for the prediction of stock market return: The case of the Istanbul Stock Exchange (2010)Literature review: Machine learning techniques applied to financial market prediction (2019)Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey (2009)Financial time series forecasting model based on CEEMDAN and LSTM (2018)NSE Stock Market Prediction Using Deep-Learning Models (2018)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)
this work references cited by second hop

References

  • 2003Financial time series forecasting using support vector machines1,734 cited
  • 2001Application of support vector machines in financial time series forecasting1,270 cited
  • 2004Forecasting stock market movement direction with support vector machine1,119 cited
  • 2003Credit rating analysis with support vector machines and neural networks: a market comparative study1,017 cited
  • 2003Support vector machine with adaptive parameters in financial time series forecasting1,008 cited
  • 2004A hybrid ARIMA and support vector machines model in stock price forecasting1,000 cited
  • 2006Credit scoring with a data mining approach based on support vector machines805 cited
  • 2000Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index758 cited
  • 1990Stock market prediction system with modular neural networks654 cited
  • 1996Introduction to financial forecasting401 cited
  • 2005Hybrid genetic algorithms and support vector machines for bankruptcy prediction377 cited
  • 2006Application of support vector machines to corporate credit rating prediction205 cited

Cited by

  • 2011A hybrid stock selection model using genetic algorithms and support vector regression243 cited
  • 2020A novel deep learning framework: Prediction and analysis of financial time series using CEEMD and LSTM

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

237 cited
  • 2021Artificial Intelligence Applied to Stock Market Trading: A Review199 cited
  • 2020Convolution on neural networks for high-frequency trend prediction of cryptocurrency exchange rates using technical indicators196 cited
  • 2022Pearson Correlation Coefficient-Based Performance Enhancement of Broad Learning System for Stock Price Prediction146 cited
  • 2016An adaptive stock index trading decision support system136 cited
  • 2022A survey on machine learning models for financial time series forecasting135 cited
  • 2015A novel hybrid model using teaching–learning-based optimization and a support vector machine for commodity futures index forecasting127 cited
  • 2010Stock trend prediction based on fractal feature selection and support vector machine121 cited
  • 2011A hybrid procedure for stock price prediction by integrating self-organizing map and genetic programming93 cited
  • 2018Combining the wisdom of crowds and technical analysis for financial market prediction using deep random subspace ensembles92 cited
  • 2014A causal feature selection algorithm for stock prediction modeling91 cited
  • 2016Proximal support vector machine based hybrid prediction models for trend forecasting in financial markets90 cited
  • 2017Pattern graph tracking-based stock price prediction using big data82 cited
  • 2021Feature selection and deep neural networks for stock price direction forecasting using technical analysis indicators80 cited
  • 2010Combining independent component analysis and growing hierarchical self-organizing maps with support vector regression in product demand forecasting77 cited