Compared to other regression techniques, a well-tuned neural network regression system can produce the most accurate prediction model. However, neural networks are complex, sometimes don't work well ...

For neural regression problems, two activation functions that usually work well are relu() and tanh(). Most of the 26 other activation functions, such as elu(), celu(), silu() and gelu(), are used ...

Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI ...

Citation: Predictive model of oxaliplatin-induced liver injury based on artificial neural network and logistic regression (2024, February 8) retrieved 5 May 2025 from https://medicalxpress.com ...