SZodixStudyAcademic Library

Shelves Open access

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

A stock price prediction method based on meta-learning and variational mode decomposition · Study

ArticleShelves

ArticleA stock price prediction method based on meta-learning and variational mode decomposition

Tengteng Liu2022

Article2022

A stock price prediction method based on meta-learning and variational mode decomposition

Tengteng Liu · Xiang Ma · Shuo Li · Xuemei Li · Caiming Zhang

109 citations·0/0 files stored·Knowledge-Based Systems

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 Financial Markets and Investment Strategies Time Series Analysis and Forecasting

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 — 109 citations exist upstream.

References

2003Financial time series forecasting using support vector machines 2019CNNpred: CNN-based stock market prediction using a diverse set of variables 2014Predicting stock market index using fusion of machine learning techniques 2017Stock Price Prediction via Discovering Multi-Frequency Trading Patterns 2018ModAugNet: A new forecasting framework for stock market index value with an overfitting prevention LSTM module and a prediction LSTM module 2019Study on the prediction of stock price based on the associated network model of LSTM 2019Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network 2011Forecasting tourism demand based on empirical mode decomposition and neural network

Cited by

2023Multi-step-ahead stock price prediction using recurrent fuzzy neural network and variational mode decomposition 2023A novel hybrid model for stock price forecasting integrating Encoder Forest and Informer 2023VGC-GAN: A multi-graph convolution adversarial network for stock price prediction 2023Stock ranking prediction using a graph aggregation network based on stock price and stock relationship information

Related works

Explore the map →

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

2020Financial time series forecasting with deep learning : A systematic literature review: 2005–2019review · 4 shared references 2021Stock market index prediction based on reservoir computing modelsarticle · 4 shared references 2021Machine learning models predicting returns: why most popular performance metrics are misleading and proposal for an efficient metricpreprint · 4 shared references 2023Deep Learning for Financial Time Series Prediction: A State-of-the-Art Review of Standalone and Hybrid Modelsarticle · 4 shared references 2023VGC-GAN: A multi-graph convolution adversarial network for stock price predictionarticle · 4 shared references 2023Research on Improved GRU-Based Stock Price Prediction Methodarticle · 4 shared references

Details

Year2022

Typearticle

Published2022-06-25

VenueKnowledge-Based Systems

ISSN-L0950-7051

Languageen

Citations109

Files0 public / 0

ShelfStock Market Forecasting Methods

Identifiers

doi10.1016/j.knosys.2022.109324

openalex_workW4283460176

Links

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

2022

Fuzzy hypergraph network for recommending top-K profitable stocks

2023A stock series prediction model based on variational mode decomposition and dual-channel attention network

2023McVCsB: A new hybrid deep learning network for stock index prediction