Skripsi

PENGARUH SELF ORGANIZING MAP TERHADAP BACKPROPAGATION DALAM MEMPREDIKSI HARGA CRYPTOCURRENCY

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Penilaian

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The backpropagation algorithm is an artificial neural network algorithm which is used to predict, but the backpropagation algorithm requires a target value in the prediction process. In this study the target value is obtained from winning neurons, which is obtained by using the self organizing map algorithm which is usually used to cluster large data. The accuracy rate of cryptocurrency predictions using the backpropagation algorithm in this study is 96.97%, and the prediction results of cryptocurrency using self organizing map and backpropagation algorithm is 98.83%. The results obtained are not significant, less than 2%. Keywords: cryptocurrency price prediction, backpropagation, self organizing map

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2007000873	T31973	T319732020	Central Library (REFERENSI)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T319732020

Publisher

Inderalaya : Jurusan Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2020

Collation

xvii, VI-2 hlm.; tab.: 28 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.07

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Teknik Informatika
Ilmu Komputer
Self Organizing Map

Specific Detail Info

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Statement of Responsibility

EM

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