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...

Full description

Bibliographic Details
Main Authors: , putu sugiartawan, , Prof. Dra. Sri Hartati, M.Sc., Ph.D.
Format: Thesis
Published: [Yogyakarta] : Universitas Gadjah Mada 2014
Subjects:
ETD