Feed-forward Neural Networks with Trainable Delay

被引：0

作者：

Ji, Xunbi A. ^{[1
]}

Molnar, Tamas G. ^{[1
]}

Avedisov, Sergei S. ^{[1
,2
]}

Orosz, Gabor ^{[1
]}

机构：

[1] Univ Michigan, Dept Mech Engn, Ann Arbor, MI 48109 USA

[2] Toyota Motor North Amer R&D Infotech Labs, Mountain View, CA 94043 USA

来源：

LEARNING FOR DYNAMICS AND CONTROL, VOL 120 | 2020年 / 120卷

关键词：

delayed feed-forward neural network; car-following; connected automated vehicle; time delay system;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we build a bridge between feed-forward neural networks and delayed dynamical systems. As an initial demonstration, we capture the car-following behavior of a connected automated vehicle that includes time delay by using both simulation data and experimental data. We construct a delayed feed-forward neural network (DFNN) and introduce a training algorithm in order to learn the delay. We demonstrate that this algorithm works well on the proposed structures.

引用

页码：127 / 136

页数：10

共 50 条

[21] Modeling a scrubber using feed-forward neural networks
Milosavljevic, N
Heikkilä, P
TAPPI JOURNAL, 1999, 82 (03): : 197 - 201
[22] The errors in simultaneous approximation by feed-forward neural networks
Xie, Tingfan
Cao, Feilong
NEUROCOMPUTING, 2010, 73 (4-6) : 903 - 907
[23] FEED-FORWARD NEURAL NETWORKS TO ESTIMATE STOKES PROFILES
Raygoza-Romero, Joan Manuel
Nava, Irvin Hussein Lopez
Ramirez-Velez, Julio Cesar
REVISTA MEXICANA DE ASTRONOMIA Y ASTROFISICA, 2024, 60 (02) : 343 - 354
[24] Estimating Model Complexity of Feed-Forward Neural Networks
Landsittel, Douglas
JOURNAL OF MODERN APPLIED STATISTICAL METHODS, 2009, 8 (02) : 488 - 504
[25] An improved training method for feed-forward neural networks
Lendl, M
Unbehauen, R
CLASSIFICATION IN THE INFORMATION AGE, 1999, : 320 - 327
[26] An Evolutionary Algorithm for Feed-Forward Neural Networks Optimization
Safi, Youssef
Bouroumi, Abdelaziz
2014 SECOND WORLD CONFERENCE ON COMPLEX SYSTEMS (WCCS), 2014, : 475 - 480
[27] Feed-forward artificial neural networks: Applications to spectroscopy
Cirovic, DA
TRAC-TRENDS IN ANALYTICAL CHEMISTRY, 1997, 16 (03) : 148 - 155
[28] Second differentials in arbitrary feed-forward neural networks
Rossi, F
ICNN - 1996 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS, VOLS. 1-4, 1996, : 418 - 423
[29] Feed-Forward Neural Networks for Failure Mechanics Problems
Aldakheel, Fadi
Satari, Ramish
Wriggers, Peter
APPLIED SCIENCES-BASEL, 2021, 11 (14):
[30] Flow of Information in Feed-Forward Denoising Neural Networks
Khadivi, Pejman
Tandon, Ravi
Ramakrishnan, Naren
PROCEEDINGS OF 2018 IEEE 17TH INTERNATIONAL CONFERENCE ON COGNITIVE INFORMATICS & COGNITIVE COMPUTING (ICCI*CC 2018), 2018, : 166 - 173

← 1 2 3 4 5 →