Perancangan Simulasi Sistem Prediksi Arah Gerak Indeks Harga Saham Gabungan Berbasis Adaptive Neuro-fuzzy Inference System
| Main Authors: | Fat, Joni, Wardhani, Lydwina |
|---|---|
| Format: | Article PeerReviewed Book |
| Bahasa: | eng |
| Terbitan: |
, 2014
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| Subjects: | |
| Online Access: |
http://repository.untar.ac.id/1775/1/2014_SMAP.pdf http://repository.untar.ac.id/1775/ |
Daftar Isi:
- The Simulation system using Fuzzy Inference System (FIS) method in this research could predict the daily closing price trend. the simulation system uses technical indicator as input variables. the FIF's type Sugeno. The defuzzification method is wtaver. Neural Network (NN) is used to update the range of membership function for labels in each variabel. the simulation output is a price change variabel. This system accuracy is about 61.55%