PREDIKSI HARGA SAHAM DENGAN HYBRID GROWING HIERARCHIAL SELF ORGANIZING MAP (GH-SOM) DAN BACKPROPAGATION NEURAL NETWORK (BPNN) (Studi Kasus: Saham Index LQ 45 pada Bursa Efek Indonesia)
Predictions of stock prices are very helpful for investors, especially stockbrokers in deciding the direction of investment from the fluctuation of stock prices in the Stock Exchange. High volatility in the stock markets led to the emergence of the need to understand the patterns and behavior of sto...
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| Main Authors: | , |
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| 格式: | Theses and Dissertations NonPeerReviewed |
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[Yogyakarta] : Universitas Gadjah Mada
2014
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| 在線閱讀: | https://repository.ugm.ac.id/133309/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=73890 |
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| 機構: | Universitas Gadjah Mada |
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