DEVELOPMENT OF MULTI-VERSE OPTIMIZER IN ARTIFICIAL NEURAL NETWORK FOR ENHANCING THE IMPUTATION ACCURACY OF DAILY RAINFALL OBSERVATIONS
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...
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| Main Authors: | , , , |
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| Format: | Book Chapter |
| Language: | English |
| Published: |
Cambridge Scholars Publishing
2024
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| Subjects: | |
| Online Access: | 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 |
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