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

• المؤلفون الرئيسيون: Taib, Siti Aishah Tsamienah, Abu, Noratikah, Senawi, Azlyna, Go, Clark Kendrick C
• التنسيق: text
• منشور في: Archīum Ateneo 2025
• الموضوعات: Tourism forecasting; Recurrent neural network; Long-short term memory; Applied Mathematics; Computer Engineering
• الوصول للمادة أونلاين: https://archium.ateneo.edu/mathematics-faculty-pubs/273; https://doi.org/10.37934/araset.46.2.9097

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...