Jin-Song Pei

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Andrew SmythProfessor of Civil Engineering and Engineering Mechanics, Columbia UniversityAdresse e-mail validée de civil.columbia.edu
Sami F. MasriProfessor of Civil and Environmental Engineering, University of Southern CaliforniaAdresse e-mail validée de usc.edu
François Gay-BalmazNanyang Technological UniversityAdresse e-mail validée de ntu.edu.sg
Musharraf ZamanProfessor of Civil Engineering and Petroleum EngineeringAdresse e-mail validée de ou.edu
Michael ToddProfessor of Structural Engineering, University of California San DiegoAdresse e-mail validée de ucsd.edu
Cameron D. MurrayAssociate Professor, University of ArkansasAdresse e-mail validée de uark.edu
James L. BeckG.W. Housner Professor of Engineering & Applied Science, Emeritus, CaltechAdresse e-mail validée de caltech.edu
Walter LacarbonaraProfessor, Sapienza University of RomeAdresse e-mail validée de uniroma1.it
Biagio CarboniAssociate Professor, DISG, Sapienza Università di RomaAdresse e-mail validée de uniroma1.it
Charles FarrarLos AlamosAdresse e-mail validée de lanl.gov
Nick LievenUniversity of Bristol, UKAdresse e-mail validée de bristol.ac.uk
David J. WaggUniversity of SheffieldAdresse e-mail validée de sheffield.ac.uk
Armen DerkevorkianJet Propulsion Laboratory, California Institute of TechnologyAdresse e-mail validée de jpl.nasa.gov
Alexander ScheinkerLos Alamos National LaboratoryAdresse e-mail validée de lanl.gov
DJ LuscherResearch Scientist, Los Alamos National LaboratoryAdresse e-mail validée de lanl.gov
Patrick BrewickAssistant ProfessorAdresse e-mail validée de nd.edu
Mohamed H AbdelbarrCairo UniversityAdresse e-mail validée de cu.edu.eg
Philip Scott Harvey Jr.University of OklahomaAdresse e-mail validée de ou.edu
Joseph HavlicekProfessor of Electrical and Computer Engineering, University of OklahomaAdresse e-mail validée de ou.edu

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Jin-Song Pei

University of Oklahoma

Adresse e-mail validée de ou.edu - Page d'accueil

nonlinear dynamics hysteresis modeling interpretable machine learning memristors hybrid dynamical systems


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
System identification of the Vincent Thomas suspension bridge using earthquake records AW Smyth, JS Pei, SF Masri Earthquake Engineering & Structural Dynamics 32 (3), 339-367, 2003	126	2003
Flexural behavior of steel fiber reinforced concrete TS Lok, JS Pei Journal of materials in civil engineering 10 (2), 86-97, 1998	111	1998
Analysis and modification of Volterra/Wiener neural networks for the adaptive identification of non-linear hysteretic dynamic systems JS Pei, AW Smyth, EB Kosmatopoulos Journal of Sound and Vibration 275 (3-5), 693-718, 2004	67	2004
Mapping polynomial fitting into feedforward neural networks for modeling nonlinear dynamic systems and beyond JS Pei, JP Wright, AW Smyth Computer Methods in Applied Mechanics and Engineering 194 (42-44), 4481-4505, 2005	58	2005
New Approach to Designing Multilayer Feedforward Neural Network Architecture for Modeling Nonlinear Restoring Forces. I: Formulation JS Pei, A Smyth Journal of Engineering Mechanics 132 (12), 1290-1300, 2006	47	2006
New Approach to Designing Multilayer Feedforward Neural Network Architecture for Modeling Nonlinear Restoring Forces. I: Formulation AWS Jin-Song Pei Journal of Engineering Mechanics 132 (12), 1290-1300, 2006	37	2006
Understanding memristors and memcapacitors in engineering mechanics applications JS Pei, JP Wright, MD Todd, SF Masri, F Gay-Balmaz Nonlinear Dynamics 80, 457-489, 2015	36	2015
New approach to designing multilayer feedforward neural network architecture for modeling nonlinear restoring forces. II: Applications JS Pei, AW Smyth Journal of engineering mechanics 132 (12), 1301-1312, 2006	36	2006
Constructing multilayer feedforward neural networks to approximate nonlinear functions in engineering mechanics applications JS Pei, EC Mai	30	2008
Critical design parameters and operating conditions of wireless sensor units for structural health monitoring JS Pei, C Kapoor, TL Graves-Abe, Y Sugeng, JP Lynch Proc., 23rd Int. Modal Analysis Conf.(IMAC XXIII), 2005	29	2005
Parametric and nonparametric identification of nonlinear systems JS Pei Columbia University, 2001	29	2001
Mem-models as building blocks for simulation and identification of hysteretic systems JS Pei, B Carboni, W Lacarbonara Nonlinear Dynamics 100 (2), 973-998, 2020	24	2020
Solving dynamical systems involving piecewise restoring force using state event location JP Wright, JS Pei Journal of engineering mechanics 138 (8), 997-1020, 2012	24	2012
Mapping some basic functions and operations to multilayer feedforward neural networks for modeling nonlinear dynamical systems and beyond JS Pei, EC Mai, JP Wright, SF Masri Nonlinear Dynamics 71, 371-399, 2013	23	2013
Integration of measured response signals for nonlinear structural health monitoring A Smyth, JS Pei 3rd US-Japan Workshop on Nonlinear System Identification and Health Monitoring, 2000	19	2000
Neural network initialization with prototypes-a case study in function approximation JS Pei, JP Wright, AW Smyth Proceedings. 2005 IEEE International Joint Conference on Neural Networks …, 2005	18	2005
Rating precast prestressed concrete bridges for shear JS Pei, RD Martin, CJ Sandburg, THK Kang Oklahoma. Dept of Transportation, 2008	17	2008
An experimental investigation of the data delivery performance of a wireless sensing unit designed for structural health monitoring JS Pei, C Kapoor, TL Graves‐Abe, YP Sugeng, JP Lynch Structural Control and Health Monitoring: The Official Journal of the …, 2008	15	2008
Neural network initialization with prototypes-function approximation in engineering mechanics applications JS Pei, EC Mai, JP Wright, AW Smyth 2007 International Joint Conference on Neural Networks, 2110-2116, 2007	15	2007
On choosing state variables for piecewise-smooth dynamical system simulations JS Pei, JP Wright, F Gay-Balmaz, JL Beck, MD Todd Nonlinear Dynamics 95, 1165-1188, 2019	14	2019

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