SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
A hybridized ELM using self-adaptive multi-population-based Jaya algorithm for currency exchange prediction: an empirical assessment
14 references·0 citing·46 second hop
A hybridized ELM using self-adaptive multi-population-based Jaya algorithm for currency exchange prediction: an empirical assessment (2018)A hybridized ELM using self-adaptive mult…A hybridized ELM-Jaya forecasting model for currency exchange prediction (2017)A hybridized ELM-Jaya forecas…A Naïve SVM-KNN based stock market trend reversal analysis for Indian benchmark indices (2015)A Naïve SVM-KNN based stock m…Empirical analysis: stock market prediction via extreme learning machine (2014)Empirical analysis: stock mar…On the development and performance evaluation of a multiobjective GA-based RBF adaptive model for the prediction of stock indices (2013)On the development and perfor…Forecasting of currency exchange rates using an adaptive ARMA model with differential evolution based training (2013)Forecasting of currency excha…Forecasting exchange rate better with artificial neural network (2007)Forecasting exchange rate bet…Forecasting exchange rate using support vector machines (2005)Forecasting exchange rate usi…A hybrid model for exchange rate prediction (2005)A hybrid model for exchange r…Linear, non-linear and essential foreign exchange rate prediction with simple technical trading rules (1999)Linear, non-linear and essent…A comparison between neural networks and chaotic models for exchange rate prediction (1999)A comparison between neural n…Neural network forecasting of the British Pound/US Dollar exchange rate (1998)Neural network forecasting of…Much ado about nothing? Exchange rate forecasting: Neural networks vs. linear models using monthly and weekly data (1996)Much ado about nothing? Excha…Forecasting exchange rates using feedforward and recurrent neural networks (1995)Forecasting exchange rates us…Currency exchange rate prediction and neural network design strategies (1993)Currency exchange rate predic…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)On Market Timing and Investment Performance. II. Statistical Procedures for Evaluating Forecasting Skills (1981)Long Swings in the Dollar: Are They in the Data and Do Markets Know It? (1990)Modelling Nonlinear Economic Time Series (2010)On Market Timing and Investment Performance Part II: Statistical Procedures for Evaluating Forecasting Skills (2015)Application of support vector machines in financial time series forecasting (2001)Financial time series forecasting using support vector machines (2003)Forecasting stock market movement direction with support vector machine (2004)Benchmark dataset for mid‐price forecasting of limit order book data with machine learning methods (2018)Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations (2020)Machine Learning Stock Market Prediction Studies: Review and Research Directions (2020)Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control (1977)A novel nonlinear ensemble forecasting model incorporating GLAR and ANN for foreign exchange rates (2004)Wavelet low- and high-frequency components as features for predicting stock prices with backpropagation neural networks (2013)RETRACTED ARTICLE: Forecasting major impacts of COVID-19 pandemic on country-driven sectors: challenges, lessons, and future roadmap (2021)Empirical exchange rate models of the seventies (1983)Testing for Nonlinear Dependence in Daily Foreign Exchange Rates (1989)A COMPARATIVE ANALYSIS OF ALTERNATIVE UNIVARIATE TIME SERIES MODELS IN FORECASTING TURKISH INFLATION (2012)Deep learning-based exchange rate prediction during the COVID-19 pandemic (2021)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)Forecasting with artificial neural networks: (1998)An Empirical Analysis of Data Requirements for Financial Forecasting with Neural Networks (2001)Neural Network Forecasting of Tourism Demand (2005)Forecasting exchange rate using deep belief networks and conjugate gradient method (2015)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)A new class of hybrid models for time series forecasting (2011)A new linear & nonlinear artificial neural network model for time series forecasting (2012)Financial time series prediction using hybrids of chaos theory, multi-layer perceptron and multi-objective evolutionary algorithms (2017)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Forecasting Thailand’s rice export: Statistical techniques vs. artificial neural networks (2007)NEURAL NETWORKS IN FINANCE AND ECONOMICS FORECASTING (2007)Comparing Predictive Accuracy (1995)On the profitability of technical trading rules based on artificial neural networks: (2000)A comparison between Fama and French's model and artificial neural networks in predicting the Chinese stock market (2004)The Adaptive Markets Hypothesis: Evidence from the Foreign Exchange Market (2009)Development and performance evaluation of FLANN based model for forecasting of stock markets (2008)Advantages of direct input-to-output connections in neural networks: The Elman network for stock index forecasting (2020)Stock market forecasting using a multi-task approach integrating long short-term memory and the random forest framework (2021)Data-driven stock forecasting models based on neural networks: A review (2024)
this work references cited by second hop

References

  • 1995Forecasting exchange rates using feedforward and recurrent neural networks428 cited
  • 1999Linear, non-linear and essential foreign exchange rate prediction with simple technical trading rules305 cited
  • 1998Neural network forecasting of the British Pound/US Dollar exchange rate287 cited
  • 2014Empirical analysis: stock market prediction via extreme learning machine166 cited
  • 2015A Naïve SVM-KNN based stock market trend reversal analysis for Indian benchmark indices166 cited
  • 2005A hybrid model for exchange rate prediction155 cited
  • 2007Forecasting exchange rate better with artificial neural network146 cited
  • 1996Much ado about nothing? Exchange rate forecasting: Neural networks vs. linear models using monthly and weekly data137 cited
  • 1993Currency exchange rate prediction and neural network design strategies135 cited
  • 2013Forecasting of currency exchange rates using an adaptive ARMA model with differential evolution based training110 cited
  • 1999A comparison between neural networks and chaotic models for exchange rate prediction87 cited
  • 2017A hybridized ELM-Jaya forecasting model for currency exchange prediction66 cited
  • 2013On the development and performance evaluation of a multiobjective GA-based RBF adaptive model for the prediction of stock indices36 cited
  • 2005Forecasting exchange rate using support vector machines

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

35 cited

Cited by

No citing works inside the corpus for this window.