SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Flexible neural trees ensemble for stock index modeling · Study

ArticleShelves

ArticleFlexible neural trees ensemble for stock index modeling

Yuehui Chen2006

Article2006

Flexible neural trees ensemble for stock index modeling

Yuehui Chen · Bo Yang · Ajith Abraham

121 citations·0/0 files stored·Neurocomputing

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Stock Market Forecasting Methods Neural Networks and Applications Forecasting Techniques and Applications

Abstract

No abstract was published for this record.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 121 citations exist upstream.

References

2000Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index 2002Modified support vector machines in financial time series forecasting 2002Forecasting the NYSE composite index with technical analysis, pattern recognizer, neural network, and genetic algorithm: a case study in romantic decision support 1998Forecasting S&P 500 stock index futures with a hybrid AI system 2001Hybrid Intelligent Systems for Stock Market Analysis 2002Mining stock price using fuzzy rough set system 1999Improving returns on stock investment through neural network selection 2002Stock market trading rule discovery using technical charting heuristics

Cited by

2014Stock Market Forecasting Using LASSO Linear Regression Model 2018Token-Based Adaptive Time-Series Prediction by Ensembling Linear and Non-linear Estimators: A Machine Learning Approach for Predictive Analytics on big Stock Data 2022Scientometric review and analysis of recent approaches to stock market forecasting: Two decades survey 2019An integrated framework of genetic network programming and multi-layer perceptron neural network for prediction of daily stock return: An application in Tehran stock exchange market

Related works

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

2004Modeling Chaotic Behavior of Stock Indices Using Intelligent Paradigmspreprint · 7 shared references 2007Combining News and Technical Indicators in Daily Stock Price Trends Predictionother · 4 shared references 2021Application of Artificial Intelligence in Stock Market Forecasting: A Critique, Review, and Research Agendaarticle · 4 shared references 2005Stock market trading rule discovery using two-layer bias decision treearticle · 4 shared references 2007NEURAL NETWORKS IN FINANCE AND ECONOMICS FORECASTINGarticle · 3 shared references 2002Analyzing stock market tick data using piecewise nonlinear modelarticle · 3 shared references

Details

Year2006

Typearticle

Published2006-10-18

VenueNeurocomputing

ISSN-L0925-2312

Languageen

Citations121

Files0 public / 0

ShelfStock Market Forecasting Methods

Identifiers

doi10.1016/j.neucom.2006.10.005

openalex_workW2002203871

Links

Imported from OpenAlex (CC0) — nothing here is generated.

2016Bayesian regularisation neural network based on artificial intelligence optimisation

2013Ensemble ANNs-PSO-GA Approach for Day-ahead Stock E-exchange Prices Forecasting

2020Predicting Stock Price Using Two-Stage Machine Learning Techniques

2022Decision Fusion for Stock Market Prediction: A Systematic Review