Bayesian Optimization with Stacked Sparse Autoencoder based Cryptocurrency Price Prediction Model-Reference-Cited by-同舟云学术

Bayesian Optimization with Stacked Sparse Autoencoder based Cryptocurrency Price Prediction Model

Published:2023-01-23 Issue: Volume: Page:
ISSN:
Container-title:2023 5th International Conference on Smart Systems and Inventive Technology (ICSSIT)
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Author:

Shaikh Irfan Abdul Karim¹,Krishna P. Vamsi²,Biswal Swagat Gourav³,Kumar A. Sasi⁴,Baranidharan S.⁵,Singh Kamlesh⁶

Affiliation:

1. Faculty of Business Bahrain Polytechnic,Isa Town,Bahrain

2. School of Management, Malla Reddy University,Hyderabad,Telangana,India

3. Odisha University of Tecnology and Research,B. Tech, Department of Electrical Engineering,Bhubaneswar,Orissa,India

4. Institute of Engineering & Technology, Srinivas University,(Mentor-IT-Inurture Education Solutions Pvt Ltd, Bangalore),Department of Cloud Technology & Data Science,Dakshina Kannada,Karnataka,India

5. Presidency College (Autonomous),Department of MBA and Research Center,Bangalore,Karnataka,India

6. Graphic Era Hill University,Department of Computer Science and Engineering,Dehradun Campus,Dehradun,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10059461/10060864/10061153.pdf?arnumber=10061153

Reference17 articles.

1. Bitcoin Price Prediction Based on Other Cryptocurrencies Using Machine Learning and Time Series Analysis

2. A hybrid model for predicting bitcoin price using machine learning and metaheuristic algorithms;sharifi;Journal of Applied Research on Industrial Engineering,2022

3. Neural Network-Based Bitcoin Pricing Using a New Mutated Climb Monkey Algorithm with TOPSIS Analysis for Sustainable Development

4. Genetic Feature Selection Applied to KOSPI and Cryptocurrency Price Prediction

5. DLCP2F: a DL-based cryptocurrency price prediction framework

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4. Machine Learning and Blockchain Intersection in Cryptocurrency Price Prediction;Blockchain – ICBC 2023;2023