Prediction of stock price with improved accuracy using recurrent neural network over support vector machine

Pratapa Reddy; Mayank Kumar

doi:10.1063/5.0270503

ScienceGate Book Chapters

JOURNAL ARTICLE

Prediction of stock price with improved accuracy using recurrent neural network over support vector machine

Pratapa Reddy Mayank Kumar

Year: 2025 Journal: AIP conference proceedings Vol: 3267 Pages: 020100-020100 Publisher: American Institute of Physics

DOI: 10.1063/5.0270503

Get Full-Text PDF Get Analytical Report

Keywords:

Support vector machine Computer science Artificial neural network Artificial intelligence Stock price Machine learning Recurrent neural network Relevance vector machine Series (stratigraphy)

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.20

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Stock Market Forecasting Methods

Social Sciences → Decision Sciences → Management Science and Operations Research

Currency Recognition and Detection

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Prediction of stock price with improved accuracy using recurrent neural network over support vector machine

Metrics

Topics

Related Documents

Improved prediction accuracy of house price using decision tree over support vector machine

Prediction of share market stock price using convolutional neural network and compare accuracy with support vector machine algorithm

Improved accuracy in automatic deduction of cyberbullying using recurrent neural network compare accuracy with support vector machine

Stock Price Prediction Using Support Vector Machine Approach

Enhancing Stock Price Prediction Using Support Vector Machine Approach