Implementasi Jaringan Syaraf Tiruan Perambatan Balik untuk Memprediksi Harga Logam Mulia Emas Menggunakan Algoritma Lavenberg Marquardt

Hidayat, Reza Najib (2013) Implementasi Jaringan Syaraf Tiruan Perambatan Balik untuk Memprediksi Harga Logam Mulia Emas Menggunakan Algoritma Lavenberg Marquardt. Undergraduate thesis, Diponegoro University.

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Abstract

Gold is one of commodities investment which its value continue to increase by year. The rising price of gold will encourage investors to choose to invest in gold rather than the stock market. With the risks that are relatively low, gold can give better resultsin accordance with its increasing price. In addition, gold can also be a safe value protector in the future.The Objectives of the research are to predict the price of gold using artificial neural networks backpropagations methods and to analyze best network used in prediction. In the process of training data, it is used some training parameters to decide the best gold prediction architecture. Comparative parameters that is used are the variation of the number of hidden layers, number of neurons in each hidden layer, learning rate, minimum gradients and fault tolerance. The results showed that the best architecture has an accuracy rate of 99,7604% of data training and test data at 98,849% with architecture combinations are have two hidden layer neurons combined 10-30, the error rate 0.00001 and 0.00001 of learning rate.

Item Type:Thesis (Undergraduate)
Uncontrolled Keywords:Prediction;Gold;Artificial Neural Networks;Backpropagation
Subjects:T Technology > T Technology (General)
Divisions:Faculty of Engineering > Department of Computer System
Faculty of Engineering > Department of Computer System
ID Code:39333
Deposited By:INVALID USER
Deposited On:15 May 2013 11:24
Last Modified:21 Nov 2013 08:52

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