DEVELOPMENT OF MULTI-VERSE OPTIMIZER IN ARTIFICIAL NEURAL NETWORK FOR ENHANCING THE IMPUTATION ACCURACY OF DAILY RAINFALL OBSERVATIONS

• المؤلفون الرئيسيون: Lai, Wai Yan, Kuok, King Kuok, Chiu, Po Chan, Md. Rezaur, Rahman
• التنسيق: فصل الكتاب
• اللغة: English
• منشور في: Cambridge Scholars Publishing 2024
• الموضوعات: T Technology (General)
• الوصول للمادة أونلاين: http://ir.unimas.my/id/eprint/46912/4/Development%20of%20multi.pdf; http://ir.unimas.my/id/eprint/46912/; https://www.cambridgescholars.com/product/978-1-0364-0804-6

This research study introduces an innovative approach to infill missing rainfall data by combining the Multi-Verse Optimizer (MVO) with a feedforward neural network (FNN) to form the Multi-Verse Optimizer Feedforward Neural Network (MVOFNN). This approach aims to overcome the limitations of conventi...