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)

• المؤلفون الرئيسيون: , putu sugiartawan, , Prof. Dra. Sri Hartati, M.Sc., Ph.D.
• التنسيق: Theses and Dissertations NonPeerReviewed
• منشور في: [Yogyakarta] : Universitas Gadjah Mada 2014
• الموضوعات: ETD
• الوصول للمادة أونلاين: 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

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...