Offline analysis of HEP events by “dynamic perceptron” neural network

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 present shortly a new dynamic architecture able to solve the limitations of the p...

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Bibliographic Details
Published in:Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment Accelerators, spectrometers, detectors and associated equipment, 1997-04, Vol.389 (1), p.210-213
Main Authors: Perrone, A.L, Basti, G, Messi, R, Pasqualucci, E, Paoluzi, L
Format: Article
Language:English
Subjects:
Neural network
Neutron form factor
Offline analysis
Pattern recognition
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Summary: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 present shortly 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.
ISSN:0168-9002
1872-9576
DOI:10.1016/S0168-9002(97)00118-6