Prediction of Iraqi Stock Exchange using Optimized Based-Neural Network
Stock market prediction is an interesting financial topic that has attracted the attention of researchers for the last years. This paper aims at improving the prediction of the Iraq-Stock-Exchange (ISX) using a developed method of feedforward Neural-Networks based on the Quasi-Newton optimization ap...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Kerbala
2021
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |