Skripsi
PENGARUH SELF ORGANIZING MAP TERHADAP BACKPROPAGATION DALAM MEMPREDIKSI HARGA CRYPTOCURRENCY
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
Inventory Code | Barcode | Call Number | Location | Status |
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2007000873 | T31973 | T319732020 | Central Library (REFERENSI) | Available but not for loan - Not for Loan |
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