Result: Solving ordinary differential equation using artificial neural network.

Title:
Solving ordinary differential equation using artificial neural network.
Authors:
Solikhin, Mukhammad1 (AUTHOR) mukhammad.solikhin.fmipa@um.ac.id, Ro'uf, Ikhsan Abdul1 (AUTHOR) ikhsan.abdul.2003126@students.um.ac.id
Source:
AIP Conference Proceedings. 2025, Vol. 3446 Issue 1, p1-7. 7p.
Database:
Academic Search Index

Further Information

A differential equation is one of the mathematical problems. Differential equation has two classifications that is, Ordinary Differential Equation (ODE) and Partial Differential Equation (PDE). The purpose of this paper is to find the solution of Ordinary Differential Equation using Machine Learning. Machine Learning is an approach to anything about man-made intelligence exhibited by machine. Technique to approach Machine Learning we use Deep Learning (DL). The method how to do this, firstly we develop the model Machine Learning in this case we use Artificial Neural Network (ANN). Secondly, we try our model to some problem Ordinary Differential Equation. The last step is to test the model to predict the solution of Ordinary Differential Equation. There is research from Sundaram A. that proposed a method for solving first-order differential equations using artificial neural networks. But, the prediction graph from that research give too much error. So, we will give new model that have less error. The solution of this problem will be the graph of the exact solution and the predict solution. Machine Learning will learn the patterns of the dataset from some problem in Ordinary Differential Equation. In this paper used python to build the Machine Learning model. [ABSTRACT FROM AUTHOR]