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Financial time series forecasting using LPP and SVM optimized by PSO · Study

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ArticleFinancial time series forecasting using LPP and SVM optimized by PSO

Quan Liu2012

Article2012

Financial time series forecasting using LPP and SVM optimized by PSO

95 citations·0/0 files stored·Soft Computing

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Stock Market Forecasting Methods Forecasting Techniques and Applications Time Series Analysis and Forecasting

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References

1970EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK*1970Efficient Capital Markets: A Review of Theory and Empirical Work 1996Forecasting enrollments based on fuzzy time series 2004Forecasting stock market movement direction with support vector machine 2003Support vector machine with adaptive parameters in financial time series forecasting 2010Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange 2008Surveying stock market forecasting techniques – Part II: Soft computing methods 2005A comparison of direct and iterated multistep AR methods for forecasting macroeconomic time series

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2022A Novel Ensemble Learning Approach for Stock Market Prediction Based on Sentiment Analysis and the Sliding Window Method 2020RETRACTED ARTICLE: Grey Wolf optimization-Elman neural network model for stock price prediction 2013Financial time series prediction by a random data-time effective RBF neural network 2016Forecasting East Asian Indices Futures via a Novel Hybrid of Wavelet-PCA Denoising and Artificial Neural Network Models

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Details

Year2012

Typearticle

Published2012-12-17

VenueSoft Computing

ISSN-L1432-7643

Languageen

Citations95

Files0 public / 0

ShelfStock Market Forecasting Methods

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doi10.1007/s00500-012-0953-y

openalex_workW1978775764

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2021Fuzzy time series forecasting based on hesitant fuzzy sets, particle swarm optimization and support vector machine-based hybrid method

2019Stock Market Prediction Using Machine Learning

2015Comparative Study between FPA, BA, MCS, ABC, and PSO Algorithms in Training and Optimizing of LS-SVM for Stock Market Prediction

2015An alternative model for the analysis of detecting electronic industries earnings management using stepwise regression, random forest, and decision tree