The article discusses how researchers identified the behavior of an experimental turbojet engine using two methods: parametric and nonparametric. They collected data from the engine and created models to understand its dynamics. The nonparametric model, built with neural networks, was found to be more accurate than the parametric one. This means that the neural network model can predict the engine's performance better than the traditional model.