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Implementation of Artificial Nervous Networks Using Backpropagation Methods Knowing Batik Motives

Abdul Halim Hasugian
Published 30 December 2019

Abstract

Artificial neural networks can be imagined like artificial brains in science fiction stories. These artificial children can think like humans and are also as smart as humans in deducing something from pieces of information received. This human delusion encourages researchers to make it happen. Computers are endeavored to think in the same way as humans think. The trick is to mimic the activities that occur in a biological neural network. The use of the backpropagation neural network method as a training model for recognition of complex patterns, the success rate for recognizing a pattern from an object is very good. Especially in the introduction of this model batik motif is very precise and quite effective. The implementation of the backpropagation neural network to identify batik motifs is very appropriate to test the truth using the backpropagation method. The resulting level of accuracy is very high, by learning the batik motifs and then introducing them.

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