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ArticleA new approach for time series prediction using ensembles of ANFIS models

Patricia Melín2011

Article2011

A new approach for time series prediction using ensembles of ANFIS models

Patricia Melín · Jesús Soto · Oscar Castillo · José Soria

178 citations·0/0 files stored·Expert Systems with Applications

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Stock Market Forecasting Methods Forecasting Techniques and Applications Fuzzy Logic and Control Systems

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References

2003Introduction to Time Series and Forecasting

Cited by

2014Particle swarm optimization of ensemble neural networks with fuzzy aggregation for time series prediction of the Mexican Stock Exchange 2013An adaptive network-based fuzzy inference system (ANFIS) for the forecasting: The case of close price indices 2021Application of Artificial Intelligence in Stock Market Forecasting: A Critique, Review, and Research Agenda 2019A New Approach to Multiple Time Series Prediction Using MIMO Fuzzy Aggregation Models with Modular Neural Networks 2019Chaotic Type-2 Transient-Fuzzy Deep Neuro-Oscillatory Network (CT2TFDNN) for Worldwide Financial Prediction 2015Comparison of fuzzy inference system (FIS), FIS with artificial neural networks (FIS + ANN) and FIS with adaptive neuro-fuzzy inference system (FIS + ANFIS) for inventory control 2020Predicting Stock Price Using Two-Stage Machine Learning Techniques 2015Triangular fuzzy series forecasting based on grey model and neural network

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Details

Year2011

Typearticle

Published2011-09-11

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations178

Files0 public / 0

ShelfStock Market Forecasting Methods

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doi10.1016/j.eswa.2011.09.040

openalex_workW2091630872

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