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.

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