SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Hybridizing Exponential Smoothing and Neural Network for Financial Time Series Predication
12 references·3 citing·43 second hop
Hybridizing Exponential Smoothing and Neural Network for Financial Time Series Predication (2006)Hybridizing Exponential Smoothing and Neu…A novel nonlinear ensemble forecasting model incorporating GLAR and ANN for foreign exchange rates (2004)A novel nonlinear ensemble fo…Time series forecasting using a hybrid ARIMA and neural network model (2003)Time series forecasting using…Forecasting stock indices: a comparison of classification and level estimation models (2000)Forecasting stock indices: a …Time series forecasting by combining RBF networks, certainty factors, and the Box-Jenkins model (1996)Time series forecasting by co…Journal of business forecasting (1996)Journal of business forecasti…How Good Are Neural Networks for Causal Forecasting (1995)How Good Are Neural Networks …Currency exchange rate prediction and neural network design strategies (1993)Currency exchange rate predic…Neural network forecasting of short, noisy time series (1992)Neural network forecasting of…Exponential smoothing: The state of the art (1985)Exponential smoothing: The st…Marketing Decision Making: A Model Building Approach (1984)Marketing Decision Making: A …Marketing Decision Making: A Model Building Approach (1971)Marketing Decision Making: A …Statistical Forecasting for Inventory Control. (1960)Statistical Forecasting for I…ClusFuDE: Forecasting low dimensional numerical data using an improved method based on automatic clustering, fuzzy relationships and differential evolution (2018)ClusFuDE: Forecasting low dim…Hybrid Support Vector Regression and Autoregressive Integrated Moving Average Models Improved by Particle Swarm Optimization for Property Crime Rates Forecasting with Economic Indicators (2013)Hybrid Support Vector Regress…CURRENCY CRISIS FORECASTING WITH GENERAL REGRESSION NEURAL NETWORKS (2006)CURRENCY CRISIS FORECASTING W…Smoothing, Forecasting and Prediction of Discrete Time Series. (1964)Stock market prediction system with modular neural networks (1990)Neural networks: Forecasting breakthrough or passing fad? (1993)Forecasting Financial Time Series using Neural Network and Fuzzy System-based Techniques (2002)Soft computing hybrids for FOREX rate prediction: A comprehensive review (2018)Time Series Analysis: Forecasting and Control (1977)Statistical Methods for Forecasting. (1984)A novel text mining approach to financial time series forecasting (2011)Comparative Study of Four Time Series Methods in Forecasting Typhoid Fever Incidence in China (2013)Forecasting stock index returns using ARIMA-SVM, ARIMA-ANN, and ARIMA-random forest hybrid models (2014)The Combination of Forecasts (1969)An investigation and comparison of artificial neural network and time series models for Chinese food grain price forecasting (2007)Bitcoin price forecasting with neuro-fuzzy techniques (2019)Hybrid structures in time series modeling and forecasting: A review (2019)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Forecasting with artificial neural networks: (1998)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)A novel hybridization of artificial neural networks and ARIMA models for time series forecasting (2010)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Forecasting Sales by Exponentially Weighted Moving Averages (1960)Time Series Analysis: Forecasting and Control (1977)Forecasting Economic Time Series (2000)A state space framework for automatic forecasting using exponential smoothing methods (2002)Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing (2011)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)Does the Stock Market Overreact? (1985)The Cross-Section of Expected Stock Returns (1992)Common risk factors in the returns on stocks and bonds (1993)Forecasting stock market short-term trends using a neuro-fuzzy based methodology (2009)An Adaptive Network-Based Fuzzy Inference System (ANFIS) for the prediction of stock market return: The case of the Istanbul Stock Exchange (2010)Forecasting daily stock market return using dimensionality reduction (2016)The Savings Investment and Valuation of a Corporation (1962)Experience with Forecasting Univariate Time Series and the Combination of Forecasts (1974)ARMA Models and the Box-Jenkins Methodology (1997)A Diffusion Theory Model of Adoption and Substitution for Successive Generations of High-Technology Products (1987)Customer satisfaction, customer retention, and market share (1993)New Product Portfolio Management: Practices and Performance (1999)Application of Analytical Hierarchy Process in Operations Management (1990)Application of Delphi method in selection of procurement systems for construction projects (2001)Predicting consumer product demands via Big Data: the roles of online promotional marketing and online reviews (2015)Implicit Price Bundling of Retail Products: A Multiproduct Approach to Maximizing Store Profitability (1991)An evidential reasoning approach for multiple-attribute decision making with uncertainty (1994)Forecasting aggregate retail sales: (2001)
this work references cited by second hop

References

  • 2003Time series forecasting using a hybrid ARIMA and neural network model4,469 cited
  • 1985Exponential smoothing: The state of the art1,461 cited
  • 1960Statistical Forecasting for Inventory Control.831 cited
  • 1971Marketing Decision Making: A Model Building Approach549 cited
  • 2000Forecasting stock indices: a comparison of classification and level estimation models428 cited
  • 1984Marketing Decision Making: A Model Building Approach288 cited
  • 2004A novel nonlinear ensemble forecasting model incorporating GLAR and ANN for foreign exchange rates259 cited
  • 1996Journal of business forecasting234 cited
  • 1996Time series forecasting by combining RBF networks, certainty factors, and the Box-Jenkins model144 cited
  • 1993Currency exchange rate prediction and neural network design strategies135 cited
  • 1992Neural network forecasting of short, noisy time series126 cited
  • 1995How Good Are Neural Networks for Causal Forecasting68 cited

Cited by

  • 2013Hybrid Support Vector Regression and Autoregressive Integrated Moving Average Models Improved by Particle Swarm Optimization for Property Crime Rates Forecasting with Economic Indicators44 cited
  • 2018ClusFuDE: Forecasting low dimensional numerical data using an improved method based on automatic clustering, fuzzy relationships and differential evolution

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

41 cited
  • 2006CURRENCY CRISIS FORECASTING WITH GENERAL REGRESSION NEURAL NETWORKS34 cited