multilayer perceptrons

Multilayer perceptrons (MLPs) are artificial neural networks composed of multiple layers of interconnected nodes (neurons). Each layer processes and transforms the input data before passing it to the next layer. MLPs are particularly efficient in solving complex problems such as pattern recognition and classification due to their ability to learn and model nonlinear relationships.

Requires login.