Extending version of Graphical User Interface in Neural Network Toolbox of MATLAB and engineering applications

Author

Xu, Fang-yuan ; Zhou, Long ; Ma, Ying-nan ; Lei Lai, Loi

Author_Institution

City Univ. London, London, UK

Volume

1

fYear

2009

fDate

12-15 July 2009

Firstpage

187

Lastpage

192

Abstract

This paper proposes an extending version of graphical user interface in neural network toolbox of MATLAB 7.1 which releases the limit of setting more layers in the feedforward network creating. Users can set up a feedforward network with any architecture. Based on this interface two simple applications are applied, namely, a simple voting system design and 3-phase generator output detector design. Simple voting system is based on feedforward network and the 3-phase generator output detector is designed on radial basis network (RBF). These examples show how to design the neural network in applications.

Keywords

graphical user interfaces; radial basis function networks; 3-phase generator output detector; MATLAB 7.1; feedforward network; graphical user interface; neural network toolbox; radial basis network; voting system design; Graphical user interfaces; MATLAB; Neural networks; Artificial neural network; Feedforward network; Learning rate; Neurons; Peak value; Platform; RBF;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2009 International Conference on

Conference_Location

Baoding

Print_ISBN

978-1-4244-3702-3

Electronic_ISBN

978-1-4244-3703-0

Type

conf

DOI

10.1109/ICMLC.2009.5212498

Filename

5212498