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Artificial neural networks for non-stationary time series
1 references·7 citing·31 second hop
Artificial neural networks for non-stationary time series (2004)Artificial neural networks for non-statio…Time series forecasting using a hybrid ARIMA and neural network model (2003)Time series forecasting using…A NOVEL R/S FRACTAL ANALYSIS AND WAVELET ENTROPY CHARACTERIZATION APPROACH FOR ROBUST FORECASTING BASED ON SELF-SIMILAR TIME SERIES MODELING (2020)A NOVEL R/S FRACTAL ANALYSIS …Integrating principle component analysis and weighted support vector machine for stock trading signals prediction (2018)Integrating principle compone…Financial time series prediction using ℓ2,1RF-ELM (2017)Financial time series predict…Financial Time Series Prediction Using Spiking Neural Networks (2014)Financial Time Series Predict…Predicting the maintenance cost of construction equipment: Comparison between general regression neural network and Box–Jenkins time series models (2013)Predicting the maintenance co…An early warning system for detection of financial crisis using financial market volatility (2006)An early warning system for d…Variance change point detection via artificial neural networks for data separation (2005)Variance change point detecti…A Model of Balance-of-Payments Crises (1979)Currency crashes in emerging markets: An empirical treatment (1996)The Twin Crises: The Causes of Banking and Balance-of-Payments Problems (1999)An integrated early warning system for stock market turbulence (2020)Construction of Enterprise Financial Early Warning Model Based on Logistic Regression and BP Neural Network (2022)Hybrid ML models for volatility prediction in financial risk management (2025)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Testing and estimating change-points in time series (1985)Testing for Structural Change in Dynamic Models (1988)Time Series Analysis: Forecasting and Control (1977)Why Bounded Rationality (1996)Multifractal detrended fluctuation analysis of nonstationary time series (2002)A Comprehensive Survey on Higher Order Neural Networks and Evolutionary Optimization Learning Algorithms in Financial Time Series Forecasting (2023)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Numerical distribution functions for unit root and cointegration tests (1996)Prediction of site overhead costs with the use of artificial neural network based model (2018)Data-Driven Machine Learning Approach to Integrate Field Submittals in Project Scheduling (2020)Improving Accuracy in Predicting City-Level Construction Cost Indices by Combining Linear ARIMA and Nonlinear ANNs (2021)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)Financial time series forecasting using support vector machines (2003)Support vector machine with adaptive parameters in financial time series forecasting (2003)Forecasting the Equity Risk Premium: The Role of Technical Indicators (2014)Optimal Feature Selection of Technical Indicator and Stock Prediction Using Machine Learning Technique (2019)Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction (2021)Forecasting turning points in stock price by applying a novel hybrid CNN-LSTM-ResNet model fed by 2D segmented images (2022)Risk Society: Towards a New Modernity. (1994)Living in the world risk society (2006)Analysis of Financial Time Series (2010)
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References

  • 2003Time series forecasting using a hybrid ARIMA and neural network model4,469 cited

Cited by

  • 2013Predicting the maintenance cost of construction equipment: Comparison between general regression neural network and Box–Jenkins time series models84 cited
  • 2018Integrating principle component analysis and weighted support vector machine for stock trading signals prediction80 cited
  • 2014Financial Time Series Prediction Using Spiking Neural Networks56 cited
  • 2006An early warning system for detection of financial crisis using financial market volatility47 cited
  • 2020A NOVEL R/S FRACTAL ANALYSIS AND WAVELET ENTROPY CHARACTERIZATION APPROACH FOR ROBUST FORECASTING BASED ON SELF-SIMILAR TIME SERIES MODELING41 cited
  • 2017Financial time series prediction using ℓ2,1RF-ELM39 cited
  • 2005Variance change point detection via artificial neural networks for data separation10 cited

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