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Document Type : Latin Dissertation
Language of Document : English
Record Number : 150489
Doc. No : ET22281
Main Entry : Malladi
Title Proper : PERFORMANCE ANALYSIS OE BACK PROPAGATION ALGORITHM: USING AR'ITFICUL NEURAL NETWORKS
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Backpropagation is a standard algorithm that is widely employed in many neuralnetworks. Due to its wide acceptance and implementation, a standard benchmark forevaluating the performance of the algorithm is a handy too1 for sohvare design anddevelopment. The object of this thesis is to propose the use of the classic XOR problemfor thc performance evaluation of the backpropagation algorithm, with some variationson the input data sets.This thesis coven background work in this area and discusses the results obtainedby other researchers. A series of test cases are then developed and run to perform the-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject : Electericl tess
: برق
electronic file name : TL45487.pdf
Title and statement of responsibility and : PERFORMANCE ANALYSIS OE BACK PROPAGATION ALGORITHM: USING AR'ITFICUL NEURAL NETWORKS [Thesis]
 
 
 
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