Nature

Developing a custom loss function for regulating underestimation and overestimation of concrete mechanical properties predictions in neural network models

Accurate prediction of concrete properties is a critical aspect of structural engineering. Conventional neural network models, while effective in various predictive tasks, often fall short in this ...
Nature

Enhancing cross entropy with a linearly adaptive loss function for optimized classification performance

We propose the linearly adaptive cross entropy loss function. This is a novel measure derived from the information theory. In comparison to the standard cross entropy loss function, the proposed one ...