The Implementation of Long-Short Term Memory for Tourism Industry in Malaysia

• Main Authors: Taib, Siti Aishah Tsamienah, Abu, Noratikah, Senawi, Azlyna, Go, Clark Kendrick C
• Format: text
• Published: Archīum Ateneo 2025
• Subjects: Tourism forecasting; Recurrent neural network; Long-short term memory; Applied Mathematics; Computer Engineering
• Online Access: https://archium.ateneo.edu/mathematics-faculty-pubs/273; https://doi.org/10.37934/araset.46.2.9097
• Institution: Ateneo De Manila University

Across the world, tourism is known as the largest contributor towards economy and the fastest developing industry. It has the capability of generating income, creating job opportunities and help people to understand the culture diversity of other countries. Therefore, tourism demand forecasting is r...