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GRENZE International Journal of Engineering and Technology Vol. 10 (2024), Issue 1

Mathematical Equation Identification and Solving System

Authors

Riya Tambe, Rakhi Bharadwaj, Sanaya Vaze, Varad Uttarwar, Samarth Urane

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

Pages: 1597 - 1606