Predicting behaviours of some nonlinear evolutionary models with artificial intelligence

The discovery of the behaviours of various physical processes has attracted the attention of researchers all over the world throughout the ages.Depending on the variety of advances in science, these discoveries have proven costly in a variety of ways.The main aim of this study is to best predict the behaviours represented by the processes in question through artificial intelligence, which is a challenging alternative to numerical methods that face many difficulties such as computational cost or economic cost.To provide a more in-depth understanding, the Kudryashov-Sinelshchikov equation with variable coefficients has been taken into account, which is a typical model for predicting physical parameters that play an important role.In conclusion, this research not only improves our understanding of nonlinear wave mechanisms, but also offers promising findings to make artificial intelligence modelling more realistic and optimized.Ultimately, it is expected that the study will contribute to the development of new approaches to examine and model various physical processes relatively costeffectively.