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CommIT Journal
Article . 2007 . Peer-reviewed
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CommIT Journal
Article . 2007
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IMPLEMENTASI METODE BACKPROPAGATION DALAM KLASTERISASI OBJEK

Authors: Diaz D Santika; Betsy Susanti; Willy Anderson; Kanisius Wongso;

IMPLEMENTASI METODE BACKPROPAGATION DALAM KLASTERISASI OBJEK

Abstract

Aim of the research was to prove that backpropagation method could be implemented for image recognitionwhile doing object classification. Observational method done was to do library research by reading and searching forinformation from various sources, then conduct analysis upon data, and last, design the application from analysisresults. From the evaluation that has been done, the result for accuration and speed are high enough (above 95%). Afteranalyzing evaluation result, it is concluded that backpropagation method could be implemented for object classification.

Related Organizations
Keywords

Telecommunication, TK5101-6720, Information technology, T58.5-58.64

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
gold