SPATIAL PATTERN-RECOGNITION IN A HIGH-ENERGY PARTICLE DETECTOR USING A NEURAL NETWORK ALGORITHM

被引：13

作者：

DENBY, B ^{[1
]}

LINN, SL ^{[1
]}

机构：

[1] FLORIDA STATE UNIV,SUPERCOMP COMPUTAT RES INST,TALLAHASSEE,FL 32306

来源：

COMPUTER PHYSICS COMMUNICATIONS | 1990年 / 56卷 / 03期

关键词：

D O I：

10.1016/0010-4655(90)90015-S

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

An intrinsically parallel algorithm based on a Hopfield style neural network is used to associate the energy depositions in a multi-component, non-magnetic high energy particle detector. The algorithm has been implemented on a vector pipeline computer with greatly enhanced performance. © 1990.

引用

页码：293 / 297

页数：5

共 4 条

[1] THE LUND MONTE-CARLO FOR HADRONIC PROCESSES - PYTHIA VERSION 4.8
BENGTSSON, HU
SJOSTRAND, T
[J]. COMPUTER PHYSICS COMMUNICATIONS, 1987, 46 (01) : 43 - 82
[2] NEURAL NETWORKS AND CELLULAR AUTOMATA IN EXPERIMENTAL HIGH-ENERGY PHYSICS
DENBY, B
[J]. COMPUTER PHYSICS COMMUNICATIONS, 1988, 49 (03) : 429 - 448
[3] GIDAL G, 1983, LBL91
[4] NEURAL NETWORKS AND PHYSICAL SYSTEMS WITH EMERGENT COLLECTIVE COMPUTATIONAL ABILITIES
HOPFIELD, JJ
[J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA-BIOLOGICAL SCIENCES, 1982, 79 (08): : 2554 - 2558

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