Utility of MATLAB and usage of backpropogation in Artificial neural network

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Amrita Ticku; Deepika yadav

Utility of MATLAB and usage of backpropogation in Artificial neural network

Authors: Amrita Ticku, Deepika yadav

Unique Paper ID: 149739
Volume: 7
Issue: 1
PageNo: 615-621

Keywords: No Keywords Found

Abstract:
The artificial neural network back propagation algorithm is implemented in Matlab Language. This implementation is compared with several other software packages. The effect of reducing the number of iterations in the performance of the algorithm is studied. The speed of the back propagation program, backprop, written in Matlab language is compared with the speed of several other back propagation programs which are written in the C language. The speed of the Matlab program backprop is, also compared with the C program quickprop which is a variant of the back propagation algorithm. It is shown that the Matlab program backprop is about 4.5 to 7 times faster than the C programs.

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ISSN: 2349-6002
Volume: 7
Issue: 1
PageNo: 615-621

Utility of MATLAB and usage of backpropogation in Artificial neural network

Available:https://ijirt.org/article?manuscript=149739

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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