Can I read Paper 17 on EtoBox?

Paper 17 by Kendall Maloni is a document available to read on EtoBox.

What is Paper 17 about?

This study presents an intelligent forecasting system using LSTM neural networks, focusing on optimizing hyperparameters such as the number of LSTM blocks, dropout rate, and technical indicators like EMA and RSI. The optimal configuration identified includes 350 LSTM units and a dropout rate of 0.05, achieving a MAPE of 1.64%, which is an improvement over previous models. The research highlights the importance of LSTM architecture and training algorithms in enhancing time series forecasting accuracy across

Author

Kendall Maloni

Language

EN