A Mutually Compensatory Modeling Method Based on Mechanism Model and Improved Elman Network

Xiao Dong Chen; Guang Fu Ma; Zi Cai Wang

A Mutually Compensatory Modeling Method Based on Mechanism Model and Improved Elman Network

Xiao Dong Chen^*
, Guang Fu Ma
, Zi Cai Wang

^*Corresponding author for this work

School of Astronautics

Harbin Institute of Technology

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

This paper presents a modeling method on line which makes use of the Improved Elman Network to compensate a system mechanism model. Simulation results in a real engineering project show that the model based on the modeling method can represent dynamic performances of the system in real time and good precision. This method offers an ideal way of modeling on line simulation for complex systems.

Original language	English
Pages (from-to)	97-100
Number of pages	4
Journal	Xitong Fangzhen Xuebao / Journal of System Simulation
Volume	11
Issue number	2
State	Published - 1999

Keywords

Mechanism model
Modeling method
Neural network

Cite this

@article{64266bd7e7cc4bc59ba985bb692a45a8,

title = "A Mutually Compensatory Modeling Method Based on Mechanism Model and Improved Elman Network",

abstract = "This paper presents a modeling method on line which makes use of the Improved Elman Network to compensate a system mechanism model. Simulation results in a real engineering project show that the model based on the modeling method can represent dynamic performances of the system in real time and good precision. This method offers an ideal way of modeling on line simulation for complex systems.",

keywords = "Mechanism model, Modeling method, Neural network",

author = "Chen, \{Xiao Dong\} and Ma, \{Guang Fu\} and Wang, \{Zi Cai\}",

year = "1999",

language = "英语",

volume = "11",

pages = "97--100",

journal = "Xitong Fangzhen Xuebao / Journal of System Simulation",

issn = "1004-731X",

publisher = "Acta Simulata Systematica Sinica",

number = "2",

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TY - JOUR

T1 - A Mutually Compensatory Modeling Method Based on Mechanism Model and Improved Elman Network

AU - Chen, Xiao Dong

AU - Ma, Guang Fu

AU - Wang, Zi Cai

PY - 1999

Y1 - 1999

N2 - This paper presents a modeling method on line which makes use of the Improved Elman Network to compensate a system mechanism model. Simulation results in a real engineering project show that the model based on the modeling method can represent dynamic performances of the system in real time and good precision. This method offers an ideal way of modeling on line simulation for complex systems.

AB - This paper presents a modeling method on line which makes use of the Improved Elman Network to compensate a system mechanism model. Simulation results in a real engineering project show that the model based on the modeling method can represent dynamic performances of the system in real time and good precision. This method offers an ideal way of modeling on line simulation for complex systems.

KW - Mechanism model

KW - Modeling method

KW - Neural network

UR - https://www.scopus.com/pages/publications/0347240981

M3 - 文章

AN - SCOPUS:0347240981

SN - 1004-731X

VL - 11

SP - 97

EP - 100

JO - Xitong Fangzhen Xuebao / Journal of System Simulation

JF - Xitong Fangzhen Xuebao / Journal of System Simulation

IS - 2

ER -

A Mutually Compensatory Modeling Method Based on Mechanism Model and Improved Elman Network

Abstract

Keywords

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