When integrating a function of multiple variables, a neural network serves as one of the approaches to represent the integral form of the function. This is achieved by training the network on the values of the integrand, followed by the analytical integration of the network. A team from LIT is studying the impact of training dataset formation on the accuracy of neural network-based integration. The research is conducted within the ecosystem for tasks of machine learning, deep learning and data analysis.
