Title: Integration of Integral Transforms with Machine Learning Techniques for Solving Complex Mathematical Problem
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 1 | Year: March 2024
Publisher Name : IJSMER-Rems Publishing House | www.ejournal.rems.co.in | ISSN : 2455-6203
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 1
Pages: 66-70
Year: March 2024
Downloads: 19
E-ISSN Number: 2455-6203
Integral transforms and machine learning techniques are two powerful tools for solving complex mathematical problems. In this paper, we explore the integration of integral transforms with machine learning techniques for solving partial differential equations, integral equations, and other complex mathematical problems. We present a novel framework that combines the strengths of integral transforms and machine learning techniques to solve complex mathematical problems. We demonstrate the effectiveness of our framework using several examples, including the solution of partial differential equations and integral equations. This paper presents a novel framework that integrates integral transforms with machine learning techniques for solving complex mathematical problems. The proposed framework leverages the strengths of integral transforms, such as the Fourier transform and Laplace transform, to preprocess and extract features from the input data. The extracted features are then used to train a machine learning model, such as a neural network or deep learning model, to solve the mathematical problem. The framework is demonstrated using several examples, including the solution of partial differential equations and integral equations. The results show that the proposed framework is able to accurately solve complex mathematical problems, and has the potential to be widely used in many fields, including physics, engineering, and mathematics.
Volterra integral equations, Integral equations, Machine Learning, Deep Learning, Neural Network, partial differential equations Mathematical modelling, Numerical analysis, Computational mathematics
Dr. Hetram Suryavanshi
Assistant Professor, Department of Mathematics, Vishwavidyalaya Engineering College, Ambikapur, (C.G.),India
Dr. Gopi Sao
Associate Professor, Department of Mathematics, Eklavya University, Damoh, (M.P.),India
Publication Details
Published in : Volume 9 | Issue 1 | March - 2024
Date of Publication : 25-03-2024
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 66-70
Manuscript Number : IJSMER202406
Publisher : Rems Publication
Journal URL :
https://ejournal.rems.co.in/IJSMER202406 |
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