Implementasi Aplikasi Prediksi Harga Saham Menggunakan Jaringan Saraf Tiruan Metode Backpropagation  

Oleh:

Jaya, Desi Endra ; Irawan, M. Isa ; Adipranata, Rudy

Jenis: Article from Journal - ilmiah nasional - tidak terakreditasi DIKTI
Dalam koleksi: Gematika: Jurnal Manajemen Informatika vol. 8 no. 2 (Jun. 2007), page 139-150.
Topik: saraf tiruan; artificial neural network; back - propagation; stock exchange prediction

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: GG4.2 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

This paper used artificial neural network technology using Back - propagation method to predict stock exchange. It uses 2 patterns of input neuron consist of 6 inputs and 10 inputs. According 2 kinds of pattern inputs used in experimentations can be concluded that choosing the parameter and weight for prediction depends on the testing results. It can use weight and training result that cause the minimum error for prediction. Sometimes it is better for the enterprise uses 6 inputs than uses 10 inputs.

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