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A novel stock forecasting model based on High-order-fuzzy-fluctuation Trends and Back Propagation Neural Network
15 references·1 citing·37 second hop
A novel stock forecasting model based on High-order-fuzzy-fluctuation Trends and Back Propagation Neural Network (2018)A novel stock forecasting model based on …Fuzzy forecasting based on two-factors second-order fuzzy-trend logical relationship groups, similarity measures and PSO techniques (2016)Fuzzy forecasting based on tw…A study of ANFIS-based multi-factor time series models for forecasting stock index (2016)A study of ANFIS-based multi-…Fuzzy time series forecasting based on fuzzy logical relationships and similarity measures (2015)Fuzzy time series forecasting…A hybrid statistical approach for stock market forecasting based on Artificial Neural Network and ARIMA time series models (2015)A hybrid statistical approach…TAIEX forecasting based on fuzzy time series, particle swarm optimization techniques and support vector machines (2013)TAIEX forecasting based on fu…Stock Market Prediction Using Artificial Neural Networks (2012)Stock Market Prediction Using…Fuzzy Forecasting Based on Two-Factors Second-Order Fuzzy-Trend Logical Relationship Groups and Particle Swarm Optimization Techniques (2012)Fuzzy Forecasting Based on Tw…Forecasting stock indices with back propagation neural network (2011)Forecasting stock indices wit…TAIEX Forecasting Based on Fuzzy Time Series and Fuzzy Variation Groups (2010)TAIEX Forecasting Based on Fu…Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations (2008)Forecasting in high order fuz…Forecasting with artificial neural networks: (1998)Forecasting with artificial n…A model of consensus in group decision making under linguistic assessments (1996)A model of consensus in group…Forecasting enrollments with fuzzy time series — Part I (1993)Forecasting enrollments with …Generalized autoregressive conditional heteroskedasticity (1986)Generalized autoregressive co…Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Autoregressive Conditional He…A Robust Regression-Based Stock Exchange Forecasting and Determination of Correlation between Stock Markets (2018)A Robust Regression-Based Sto…Fuzzy sets (1965)Fuzzy sets (1996)Fuzzy time series forecasting based on optimal partitions of intervals and optimal weighting vectors (2016)Forecasting energy demand in China and India: Using single-linear, hybrid-linear, and non-linear time series forecast techniques (2018)Interval-valued intuitionistic fuzzy multiple attribute decision making based on nonlinear programming methodology and TOPSIS method (2019)Book Review: Time Series Analysis: Forecasting and Control (1977)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)Financial time series forecasting using support vector machines (2003)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)Time Series Analysis: Forecasting and Control (1977)On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks (1993)Multivariate Simultaneous Generalized ARCH (1995)Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index (2000)Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index (2002)Time series forecasting using a hybrid ARIMA and neural network model (2003)Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)NSE Stock Market Prediction Using Deep-Learning Models (2018)Applications of deep learning in stock market prediction: Recent progress (2021)Forecasting enrollments based on fuzzy time series (1996)A new time invariant fuzzy time series forecasting method based on particle swarm optimization (2012)Fuzzy time series forecasting with a novel hybrid approach combining fuzzy c-means and neural networks (2012)A survey on forecasting of time series data (2016)The concept of a linguistic variable and its application to approximate reasoning—II (1975)THE DEMAND FOR HIGHER EDUCATION AND INSTITUTIONAL ENROLLMENT FORECASTING (1979)Forecasting enrollments with fuzzy time series — part II (1994)Effective lengths of intervals to improve forecasting in fuzzy time series (2001)On ordered weighted averaging aggregation operators in multicriteria decisionmaking (1988)A sequential selection process in group decision making with a linguistic assessment approach (1995)Extensions of the TOPSIS for group decision-making under fuzzy environment (2000)Linguistic decision analysis: steps for solving decision problems under linguistic information (2000)A fuzzy approach for supplier evaluation and selection in supply chain management (2005)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)Econometric Analysis of Cross Section and Panel Data (2001)A hybrid fuzzy time series forecasting model based on granular computing and bio-inspired optimization approaches (2018)RETRACTED: Pythagorean fuzzy Hamacher Prioritized aggregation operators in multiple attribute decision making (2018)A new fuzzy time series forecasting model combined with ant colony optimization and auto-regression (2014)Fuzzy Forecasting Based on Two-Factors Second-Order Fuzzy-Trend Logical Relationship Groups and the Probabilities of Trends of Fuzzy Logical Relationships (2014)
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References

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46 cited
  • 2016A study of ANFIS-based multi-factor time series models for forecasting stock index33 cited
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    • 2018A Robust Regression-Based Stock Exchange Forecasting and Determination of Correlation between Stock Markets31 cited