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IEEE/ICACT20250097 Slide.09        [Big Slide]	Oral Presentation
	Long Short-Term Memory (LSTM) is a deep learning-based recurrent neural network designed for sequential data. It is well-suited for long-term economic forecasting. However, LSTM requires large datasets and extensive computational power for optimization. Despite its potential, LSTM's complexity makes it challenging to implement compared to other models. SVM is a powerful classification and regression model that finds the optimal hyperplane to separate data points. It has potential in economic forecasting but requires careful parameter tuning. While SVM can handle complex data patterns, its performance varies depending on the dataset characteristics.

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