Forecasting turning points in stock price by applying a novel hybrid CNN-LSTM-ResNet model fed by 2D segmented images-Reference-Cited by-同舟云学术

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Forecasting turning points in stock price by applying a novel hybrid CNN-LSTM-ResNet model fed by 2D segmented images

Published:2022-11 Issue: Volume:116 Page:105464
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Khodaee Pouya^ORCID,Esfahanipour Akbar^ORCID,Mehtari Taheri Hassan^ORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference75 articles.

1. Brain tumor segmentation based on a hybrid clustering technique;Abdel-Maksoud;Egypt. Inform. J.,2015

2. Modeling turning points in the global equity market;Ahelegbey;Econom. Stat.,2021

3. Deep learning for stock prediction using numerical and textual information;Akita,2016

4. Objective function clustering;Bezdek,1981

5. MRI segmentation fusion for brain tumor detection;Cabria;Inf. Fusion,2017

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