Prediksi Harga Emas Menggunakan Metode Neural Network Backropagation Algoritma Conjugate Gradient


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Title Prediksi Harga Emas Menggunakan Metode Neural Network Backropagation Algoritma Conjugate Gradient
Creator Sari, yuslena
Description Artificial Neural Network Backpropagation is known as one of the most reliable methods of predicting. The algorithm used in this research is Conjugate Gradient algorithm, with gold data data of input data for training data. The price of gold becomes an issue in the market, as a precious metal that can be used for investment is very interesting to make a gold price prediction application. Gold prices continue to increase in the world market, making investors interested to invest in this precious metal. The application of gold price prediction will be very useful for investors of precious metals. Gold price data used in this research is daily data, taken 3 (three) last year and divided into test data and data testing. Test data is used to generate new weights for data testing. The parameters used in the measurement of evaluation of predicted results from Conjugate Gradient algorithm Artificial Neural Network Backpropagation method is Meant Square Error (MSE), where the result of MSE from this research is 0.0313651
Publisher P3M Politeknik Negeri Banjarmasin
Date 2018-01-09
Type info:eu-repo/semantics/article
Peer-reviewed Article
Format application/pdf
Source Jurnal ELTIKOM; Vol 1 No 2 (2017); 64-70
Language eng
Rights Copyright (c) 2018 Jurnal ELTIKOM

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