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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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File | Description | Size | Format | |
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tambunan2020 (1).pdf | 240.61 kB | Adobe PDF | View/Open |
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