Improved v -Support vector regression model based on variable selection and brain storm optimization for stock price forecasting
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
Software
Reference40 articles.
1. Forecasting stock index price based on M-factors fuzzy time series and particle swarm optimization;Singh;Int. J. Approx. Reason.,2014
2. A hybrid fuzzy time series model based on granular computing for stock price forecasting;Chen;Inf. Sci. (Ny),2015
3. Stock price forecast using Bayesian network;Zuo;Expert Syst. Appl.,2012
4. Forecasting stock indices with back propagation neural network;Wang;Expert Syst. Appl.,2011
5. PSO-based high order time invariant fuzzy time series method: application to stock exchange data;Egrioglu;Econ. Model.,2014
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