Neural nets with varying topology for high-energy particle recognition: theory and applications

Antonio Luigi Perrone; Gianfranco Basti; Roberto Messi; Luciano Paoluzi; Piergiorgio Picozza

doi:10.1117/12.205106

6 April 1995 Neural nets with varying topology for high-energy particle recognition: theory and applications

Antonio Luigi Perrone, Gianfranco Basti, Roberto Messi, Luciano Paoluzi, Piergiorgio Picozza

Proceedings Volume 2492, Applications and Science of Artificial Neural Networks; (1995) https://doi.org/10.1117/12.205106
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

In this paper we start from a critical analysis of the fundamental problems of the parallel calculus in linear structures and of their extension to the partial solutions obtained with non- linear architectures. Then, we briefly present a new dynamic architecture able to solve the limitations of the previous architectures through an automatic redefinition of the topology. This architecture is applied to real time recognition of particle tracks in high energy accelerators and in astrophysics experiments.

Citation Download Citation

Antonio Luigi Perrone, Gianfranco Basti, Roberto Messi, Luciano Paoluzi, and Piergiorgio Picozza "Neural nets with varying topology for high-energy particle recognition: theory and applications", Proc. SPIE 2492, Applications and Science of Artificial Neural Networks, (6 April 1995); https://doi.org/10.1117/12.205106

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available