Extending Version Of Graphical User Interface In Neural Network Toolbox Of Matlab And Engineering Applications

PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-6(2009)

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摘要
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.
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关键词
Artificial neural network,Platform,Neurons,Learning rate,Peak value,Feedforward network,RBF
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