z-logo
open-access-imgOpen Access
STOCK PRICE PREDICTION USING GRID HYPER PARAMETER TUNING IN GATED RECURRENT UNIT
Author(s) -
Shachi Bhavsar,
Ravi Gor
Publication year - 2022
Publication title -
international journal of engineering science technologies
Language(s) - English
Resource type - Journals
ISSN - 2456-8651
DOI - 10.29121/ijoest.v6.i3.2022.345
Subject(s) - stock (firearms) , hyperparameter optimization , computer science , grid , stock market , recurrent neural network , social media , unit (ring theory) , predictive power , deep learning , artificial intelligence , artificial neural network , machine learning , econometrics , economics , engineering , support vector machine , mathematics , mechanical engineering , paleontology , philosophy , geometry , mathematics education , epistemology , horse , world wide web , biology

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom