Please use this identifier to cite or link to this item: http://repository.potensi-utama.ac.id/jspui/jspui/handle/123456789/3942
Title: Artikel Pattern Recognition of Batak Script Using Habbian Method
Authors: edy, victor haryanto
Keywords: Artificial neural network, Habb
Pola, Batak script
Issue Date: 18-Dec-2020
Publisher: CITSM
Series/Report no.: ;1-4
Abstract: The introduction of patterns is an analytical work, which is to process raw data (not loading explicit structures) to find the various elements of the attributes/information associated with it. This analytical work is commonplace for human beings. By using the five senses, human beings can see, hear, and feel the condition of its environment to then identify the things that are in it, digest and understand it, so that he can do the activities or interactions that suit his wishes. Facial recognition, voice, signposts and writings, the computer performs pattern recognition by following several stages: sensing, segmentation, feature extraction, and classification/inference. One of the methods used to recognize the pattern is with the help of neural networks. In recognizing the Batak alphabet pattern, it uses one of the methods that exist in the neural network, using the Habb method. So, it is hoped that the Habb method can recognize pattern patterns or features of the Batak script.
URI: http://repository.potensi-utama.ac.id/jspui/jspui/handle/123456789/3942
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