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Mathematical Equation Identification and Solving System.

Authors :
Tambe, Riya
Bharadwaj, Rakhi
Vaze, Sanaya
Uttarwar, Varad
Urane, Samarth
Source :
Grenze International Journal of Engineering & Technology (GIJET); Jan Part 2, Vol. 10, p1597-1606, 10p
Publication Year :
2024

Abstract

The rapid advancements in deep learning techniques have significantly impacted various fields, including mathematics and natural language processing. Mathematical equation identification and solving is a challenging task that has been studied by researchers for many years. Traditional approaches to this task typically rely on rule-based systems, hand-crafted features or manual work. However, these approaches are often limited in their ability to handle complex equations and there are also chances of error in it. The survey begins by discussing the challenges associated with mathematical equation identification and solving, such as the complexity of mathematical notation, variable representation, and equation structure. The paper provides an overview of the existing methodologies, algorithms, and frameworks employed in the development of systems capable of identifying and solving mathematical equations using deep learning techniques. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
23955287
Volume :
10
Database :
Complementary Index
Journal :
Grenze International Journal of Engineering & Technology (GIJET)
Publication Type :
Academic Journal
Accession number :
175658292