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Tax forecasting theory and model based on SVM optimized by PSO
3 references·2 citing·22 second hop
Tax forecasting theory and model based on SVM optimized by PSO (2010)Tax forecasting theory and model based on…Improving option price forecasts with neural networks and support vector regressions (2009)Improving option price foreca…Financial time series forecasting using independent component analysis and support vector regression (2009)Financial time series forecas…Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural network (2008)Stock market prediction of S&…Carbon Price Forecasting with a Hybrid ARIMA and Least Squares Support Vector Machines Methodology (2017)Carbon Price Forecasting with…A new hybrid for improvement of auto-regressive integrated moving average models applying particle swarm optimization (2011)A new hybrid for improvement …The Pricing of Options and Corporate Liabilities (1973)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options (1993)A real time clustering and SVM based price-volatility prediction for optimal trading strategy (2013)A Data-Driven Fuzzy Information Granulation Approach for Freight Volume Forecasting (2016)A Novel Hybrid Model for Stock Price Forecasting Based on Metaheuristics and Support Vector Machine (2019)The Combination of Forecasts (1969)Time Series Analysis: Forecasting and Control (1977)Time series forecasting using a hybrid ARIMA and neural network model (2003)Comparing Predictive Accuracy (1994)Forecasting with artificial neural networks: (1998)Stock price prediction using support vector regression on daily and up to the minute prices (2018)Optimizing LSTM for time series prediction in Indian stock market (2020)Machine learning techniques and data for stock market forecasting: A literature review (2022)Comparing Predictive Accuracy (1995)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)Forecasting carbon price in China unified carbon market using a novel hybrid method with three-stage algorithm and long short-term memory neural networks (2023)Linear-layer-enhanced quantum long short-term memory for carbon price forecasting (2023)SimVGNets: Similarity-Based Visibility Graph Networks for Carbon Price Forecasting (2023)Integration of genetic fuzzy systems and artificial neural networks for stock price forecasting (2010)Stock index forecasting based on a hybrid model (2011)Carbon price forecasting with a novel hybrid ARIMA and least squares support vector machines methodology (2012)
this work references cited by second hop

References

  • 2009Financial time series forecasting using independent component analysis and support vector regression538 cited
  • 2008Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural network423 cited
  • 2009Improving option price forecasts with neural networks and support vector regressions78 cited

Cited by

  • 2017Carbon Price Forecasting with a Hybrid ARIMA and Least Squares Support Vector Machines Methodology62 cited
  • 2011A new hybrid for improvement of auto-regressive integrated moving average models applying particle swarm optimization39 cited

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