Discovering realistic behaviours with artificial intelligence

Prediction of behaviours representing physical processes has long attracted the attention of the academic community.In parallel with the diversity of scientific developments, it has been shown in the literature that many of these discoveries are quite costly for many reasons.This research seeks to best forecast the behaviours represented by these processes using artificial intelligence methodologies, which are an essential alternative to standard computational methods that confront numerous challenges in real life.To establish a firm foundation for this idea, various processes have been devised to forecast the behaviour represented by models closer to actuality in life.As a result, rather than emphasizing the importance of physical reality, this study demonstrates how successful artificial intelligence modelling is, even in extremely challenging situations.Furthermore, it is believed that this research will lead to the development of novel ways for efficiently modelling various complex processes.