PREDIKSI HARGA SAHAM HARIAN MENGGUNAKAN JARINGAN SYARAF TIRUAN (JST) DENGAN ALGORITMA PROPAGASI BALIK
Prediction of stock prices is useful for investors to understand how investments is suitable into organization in the future. Predictions can anticipate fluctuations in stock prices and can also help investors to make decisions. Artificial Neural Networks (ANN) provides a fast and flexible way to pr...
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| Format: | Academic Paper |
| Published: |
2014-04-29.
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| Online Access: | http://eprints.undip.ac.id/44594/ |
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http://eprints.undip.ac.id/44594/3rd Floor Main Library
| Call Number: |
A1234.567 |
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| Copy 1 | Available |