Computational tool design for dynamical systems simulation and Artificial Neural Networks

Juan Zambrano-Ramírez; Gloria Mousalli-Kayat; Francklin Rivas-Echeverría; Addison Ríos-Bolívar

Computational tool design for dynamical systems simulation and Artificial Neural Networks

Juan Zambrano-Ramírez^*, Gloria Mousalli-Kayat, Francklin Rivas-Echeverría, Addison Ríos-Bolívar

^*Corresponding author for this work

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

2 Scopus citations

Abstract

In this work it is presented a computational tool design for dynamical systems simulation and Artificial Neural Networks (ANN) training and implanting. The simulation is given using an Graphic User Interface (GUI), that can be used for easily describing linear or nonlinear dynamical systems using space state equations. It is used a Script connection for linking NI-LabVIEW™ and MatLab® Neural Networks Toolbox.

Original language	English
Pages (from-to)	390-395
Number of pages	6
Journal	WSEAS Transactions on Information Science and Applications
Volume	2
Issue number	4
State	Published - Apr 2005
Externally published	Yes

Keywords

Applications integration
Artificial Neural Networks
Dynamical systems simulation
LabVIEW™
MatLab®

Cite this

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title = "Computational tool design for dynamical systems simulation and Artificial Neural Networks",

abstract = "In this work it is presented a computational tool design for dynamical systems simulation and Artificial Neural Networks (ANN) training and implanting. The simulation is given using an Graphic User Interface (GUI), that can be used for easily describing linear or nonlinear dynamical systems using space state equations. It is used a Script connection for linking NI-LabVIEW{\texttrademark} and MatLab{\textregistered} Neural Networks Toolbox.",

keywords = "Applications integration, Artificial Neural Networks, Dynamical systems simulation, LabVIEW{\texttrademark}, MatLab{\textregistered}",

author = "Juan Zambrano-Ram{\'i}rez and Gloria Mousalli-Kayat and Francklin Rivas-Echeverr{\'i}a and Addison R{\'i}os-Bol{\'i}var",

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T1 - Computational tool design for dynamical systems simulation and Artificial Neural Networks

AU - Zambrano-Ramírez, Juan

AU - Mousalli-Kayat, Gloria

AU - Rivas-Echeverría, Francklin

AU - Ríos-Bolívar, Addison

PY - 2005/4

Y1 - 2005/4

N2 - In this work it is presented a computational tool design for dynamical systems simulation and Artificial Neural Networks (ANN) training and implanting. The simulation is given using an Graphic User Interface (GUI), that can be used for easily describing linear or nonlinear dynamical systems using space state equations. It is used a Script connection for linking NI-LabVIEW™ and MatLab® Neural Networks Toolbox.

AB - In this work it is presented a computational tool design for dynamical systems simulation and Artificial Neural Networks (ANN) training and implanting. The simulation is given using an Graphic User Interface (GUI), that can be used for easily describing linear or nonlinear dynamical systems using space state equations. It is used a Script connection for linking NI-LabVIEW™ and MatLab® Neural Networks Toolbox.

KW - Applications integration

KW - Artificial Neural Networks

KW - Dynamical systems simulation

KW - LabVIEW™

KW - MatLab®

UR - https://www.scopus.com/pages/publications/20344374647

M3 - Article

AN - SCOPUS:20344374647

SN - 1790-0832

VL - 2

SP - 390

EP - 395

JO - WSEAS Transactions on Information Science and Applications

JF - WSEAS Transactions on Information Science and Applications

IS - 4

ER -

Computational tool design for dynamical systems simulation and Artificial Neural Networks

Abstract

Keywords

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