Hybrid models for intraday stock price forecasting based on artificial neural networks and metaheuristic algorithms-Reference-Cited by-同舟云学术

Hybrid models for intraday stock price forecasting based on artificial neural networks and metaheuristic algorithms

Published:2021-07 Issue: Volume:147 Page:124-133
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

S Kumar Chandar

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference18 articles.

1. Surveying stock market forecasting techniques-Part II: soft computing methods;Atsalakis;Expert Syst. Appl.,2009

2. Soft computing and bio-inspired computing techniques for stock market prediction-a comprehensive survey;Chandar;Int. J. Eng. Technol.,2018

3. Intraday stock price prediction of state bank of India using soft computing models;Chandar;Indian J. Econ. Bus.,2019

4. Forecasting the TAIEX based on fuzzy time series;Chen,2013

5. An Empirical Study on Importance of Modeling Parameters and Trading Volume-Based Features in Daily Stock Trading Using Neural Networks. in Informatics;Dinh,2018

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