Evaluating EAS Directions from TAIGA HiSCORE Data Using Fully Connected Neural Networks

被引：0

作者：

A. P. Kryukov ^{[1
]}

S. P. Polyakov ^{[1
]}

Yu. Yu. Dubenskaya ^{[1
]}

E. O. Gres ^{[1
]}

E. B. Postnikov ^{[2
]}

P. A. Volchugov ^{[1
]}

D. P. Zhurov ^{[1
]}

机构：

[1] Skobeltsyn Institute of Nuclear Physics,

[2] Lomonosov Moscow State University,undefined

[3] Research Institute of Applied Physics,undefined

[4] Irkutsk State University,undefined

来源：

Moscow University Physics Bulletin | 2024年 / 79卷 / Suppl 2期

关键词：

extensive area shower; EAS direction; Cherenkov detector; machine learning; artificial neural network; multilayer perceptron; skip connections;

D O I：

10.3103/S0027134924702199

中图分类号：

学科分类号：

摘要：

引用

页码：S724 / S730

共 50 条

[21] Transitioning Between Convolutional and Fully Connected Layers in Neural Networks
Akbar, Shazia
Peikari, Mohammad
Salama, Sherine
Nofech-Mozes, Sharon
Martel, Anne
DEEP LEARNING IN MEDICAL IMAGE ANALYSIS AND MULTIMODAL LEARNING FOR CLINICAL DECISION SUPPORT, 2017, 10553 : 143 - 150
[22] DYNAMICS OF FULLY CONNECTED ATTRACTOR NEURAL NETWORKS NEAR SATURATION
COOLEN, ACC
SHERRINGTON, D
PHYSICAL REVIEW LETTERS, 1993, 71 (23) : 3886 - 3889
[23] Investigation of Fully Connected Neural Networks for Reconstruction of MR Images
Souza, Roberto
Bento, Mariana
Frayne, Richard
XXVI BRAZILIAN CONGRESS ON BIOMEDICAL ENGINEERING, CBEB 2018, VOL. 2, 2019, 70 (02): : 293 - 298
[24] On global asymptotic stability of fully connected recurrent neural networks
Mandic, DP
Chambers, JA
Bozic, MM
2000 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, PROCEEDINGS, VOLS I-VI, 2000, : 3406 - 3409
[25] Methods for Evaluating Debris Flow Susceptibility Based on OOD Generalization Verification and Deep Fully Connected Neural Networks
Guo, Pengning
Xing, Huige
Li, Congjiang
Wu, Yuxin
Li, Haibo
Gongcheng Kexue Yu Jishu/Advanced Engineering Sciences, 2024, 56 (04): : 182 - 193
[26] The stability of the solution in fully connected neural networks with the encouragement factor
Nitta, T
ICONIP'98: THE FIFTH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING JOINTLY WITH JNNS'98: THE 1998 ANNUAL CONFERENCE OF THE JAPANESE NEURAL NETWORK SOCIETY - PROCEEDINGS, VOLS 1-3, 1998, : 518 - 521
[27] Electrocardiogram Classification Problem Solving using Deep Learning Algorithms Fully connected Neural Networks
Gharaibeh, Anwaar
Quwaider, Muhannad
2022 13TH INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION SYSTEMS (ICICS), 2022, : 281 - 288
[28] Structural Damage Identification of Composite Rotors Based on Fully Connected Neural Networks and Convolutional Neural Networks
Scholz, Veronika
Winkler, Peter
Hornig, Andreas
Gude, Maik
Filippatos, Angelos
SENSORS, 2021, 21 (06) : 1 - 15
[29] Distilling Knowledge from BERT into Simple Fully Connected Neural Networks for Efficient Vertical Retrieval
Liu, Peiyang
Wang, Xi
Wang, Lin
Ye, Wei
Xi, Xiangyu
Zhang, Shikun
PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT, CIKM 2021, 2021, : 3965 - 3975
[30] Estimation of a regression function on a manifold by fully connected deep neural networks
Kohler, Michael
Langer, Sophie
Reif, Ulrich
JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2023, 222 : 160 - 181

← 1 2 3 4 5 →