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Image of PENGARUH SELF ORGANIZING MAP TERHADAP BACKPROPAGATION DALAM MEMPREDIKSI HARGA CRYPTOCURRENCY

Skripsi

PENGARUH SELF ORGANIZING MAP TERHADAP BACKPROPAGATION DALAM MEMPREDIKSI HARGA CRYPTOCURRENCY

HEDITIANTO, EWALDO HARYOSENO - Personal Name;

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Penilaian anda saat ini :  

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


Availability
Inventory Code Barcode Call Number Location Status
2007000873T31973T319732020Central Library (REFERENSI)Available but not for loan - Not for Loan
Detail Information
Series Title
-
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
-
Classification
005.07
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Teknik Informatika
Ilmu Komputer
Self Organizing Map
Specific Detail Info
-
Statement of Responsibility
EM
Other version/related

No other version available

File Attachment
  • PENGARUH SELF ORGANIZING MAP TERHADAP BACKPROPAGATION DALAM MEMPREDIKSI HARGA CRYPTOCURRENCY
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