Comparative Performance Analysis of Optimization Algorithms in Artificial Neural Networks for Stock Price Prediction
This study aims to enhance price prediction accuracy using Artificial Neural Networks (ANN) by comparing three optimization methods: Stochastic Gradient Descent (SGD), Adam, and RMSprop. The research employs a systematic approach involving the design, training, and validation of ANN models optimized...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Politeknik Negeri Batam
2025-01-01
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| Series: | Journal of Applied Informatics and Computing |
| Subjects: | |
| Online Access: | https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/8820 |
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