"Implementation of back-propagation neural networks with MatLab" by Jamshid Nazari and Okan K. Ersoy
 

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 iai studied. The speed of the back propagation program, mkckpmp, 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 mbackpmp is, also compared with the C program quickpmp which is a variant of the back propagation algorithm. It is shown that the Matlab program mbackpmp is about 4.5 to 7 times faster than the C programs.

Date of this Version

9-1-1992

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