MLPfit: a simple and powerful tool for training and using Multi-Layer Perceptrons

by Jerome Schwindling (CEA Saclay (FRANCE))

Wednesday 19 Jan 2000, 16:00 → 16:15 Europe/Zurich

IT Auditorium (CERN)

Artificial Neural Networks in general, and Multi-Layer Perceptrons in particular, are now commonly used in many commercial, industrial or research fields, including High-Energy physics. In this seminar, we will first describe some of the mathematical grounds of Multi-Layer Perceptrons (function approximation, minimisation methods, linear algebra, etc.). We will then present the MLPfit package, which: - can be used for both function approximation and classification tasks - implements powerful minimisation methods in a fast and precise way - is available through various user interfaces, including the latest version of PAW.

Organiser(s): G. Folger / IT