Predict cryptocurrencies based on the GA-BP neural network

As the cryptocurrency market has flourished, Bitcoin has attracted widespread attention as a global leading digital currency. We used a standard BP neural network model to train and predict the price of Bitcoin based on the S&P 500 value index, cryptocurrency trading volume, and the highest price of Bitcoin. The parameters of the neural network were then optimized using a genetic algorithm. The study found that while both models could predict bitcoin price trends, the GA-BP algorithm did better in predicting bitcoin prices.

Authors

Institutions

Publication Details

Published
2024-11-21
DOI
https://doi.org/10.1109/iciibms62405.2024.10792876
Primary Topic
Advanced Computational Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predict cryptocurrencies based on the GA-BP neural network

Jiamin Hu, Xiaoxiao Li
Advanced Computational Techniques and Applications
article

Predict cryptocurrencies based on the GA-BP neural network

Jiamin Hu, Xiaoxiao Li
article en

Abstract

As the cryptocurrency market has flourished, Bitcoin has attracted widespread attention as a global leading digital currency. We used a standard BP neural network model to train and predict the price of Bitcoin based on the S&P 500 value index, cryptocurrency trading volume, and the highest price of Bitcoin. The parameters of the neural network were then optimized using a genetic algorithm. The study found that while both models could predict bitcoin price trends, the GA-BP algorithm did better in predicting bitcoin prices.

Shanghai Institute of Technology (CN)
Openalex Percentile: Top 79%
Advanced Computational Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.