IMPLEMENTASI METODE LEARNING VECTOR QUANTIZATION UNTUK MEMBEDAKAN WARNA PADA GOOGLE MAPS

ARTORYAN, JOEYRIZA PERDANA and Erwin, Erwin (2019) IMPLEMENTASI METODE LEARNING VECTOR QUANTIZATION UNTUK MEMBEDAKAN WARNA PADA GOOGLE MAPS. Undergraduate thesis, Sriwijaya University.

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Abstract

Much research on Artificial Neural Networks has been widely implemented in all fields of science, especially in the field of Science. Artificial Neural Network (ANN) is a machine designed to model the way the brain uses to perform a particular function. Seeing the development of Artificial Neural Network came the idea of applying Artificial Neural Networks into the field of geography concerning the identification of map color patterns to distinguish geographical features on maps, their application applied to maps of Google Maps, a free and online virtual globe map provided by Google can be accessed via http://maps.google.com. To identify the image color pattern is done image processing process, that is process to improve image quality for easy to be interpreted by human of machine (computer). Image processing technique used is Segmentation Technique. Training method used in this research using Learning Vector Quantization Method.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	jaringan saraf tiruan, pemprosesan gambar, lvq, ektraksi vitur, sekmentasi, klasifikasi gambar
Subjects:	T Technology > T Technology (General) > T175-178 Industrial research. Research and development > T175 General works T Technology > T Technology (General) > T58.4 Managerial control systems Information technology. Information systems (General)
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Users 7614 not found.
Date Deposited:	23 Nov 2020 05:28
Last Modified:	23 Nov 2020 05:28
URI:	http://repository.unsri.ac.id/id/eprint/37783

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