No title
Artificial neural networks (ANNs) are employed to predict the energy levels of quantum systems, including the hydrogen atom, the harmonic oscillator, and the particle in a box, using various activation functions. The results demonstrate that the choice of activation function significantly influences prediction accuracy. This data-driven framework provides a powerful alternative to explicitly solvi
