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Solving Linear and Non Linear System Through Neural Networks

The project aims to investigate the advantages of neural networks compared to traditional linear solvers in both linear and nonlinear mathematical models by training neural networks on existing data.The primary objective is to provide approximate solutions for large-scale problems where computing matrix inverses becomes.impractical. The approach draws inspiration from the methodology presented in Cichocki and Unbehauen's 1992 paper.

Keywords: Backpropagation,Activation Function,Bysian Optimization, Loss Function
Tools: Matlab,Python, Latex
Department: Department of Mathematics

Project Team Members

Name Email
Amjad Iqbal amjadiqbal2020@namal.edu.pk
Hamza Nawaz hamza2020@namal.edu.pk

Project Poster

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