Investigating the impact of wind on sea level rise using multilayer perceptron neural network (MLP-NN) at coastal area, Sabah
This study investigating the impact of wind on sea level rise (SLR) using Multilayer Perceptron Neural Network (MLP-NN) at Coastal Area, Sabah. The mean sea level (MSL) and four meteorology parameters namely; wind direction (WD), wind speed (WS), rainfall and mean cloud cover. These meteorological p...
Saved in:
Main Authors: | Olivia Muslim T., Najah Ahmed A., Malek M.A., El-Shafie A., EL-Shafie A. |
---|---|
Other Authors: | 57205233082 |
Format: | Article |
Published: |
IAEME Publication
2023
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Investigating the impact of wind on sea level rise using multilayer perceptron neural network (MLP-NN) at coastal area, Sabah
by: Olivia Muslim, T., et al.
Published: (2019) -
Smell index for indoor air quality system based on multilayer perceptron (MLP)
by: Saad, S. M., et al.
Published: (2017) -
Screening of bone marrow slide images for leukemia using multilayer perceptron (MLP)
by: Mohd Yusoff, Mashor, Prof. Dr., et al.
Published: (2014) -
Performance of multi-layer perceptron-neural network versus random forest regression for sea level rise prediction
by: Muslim T.O.B., et al.
Published: (2023) -
MLP Neural Networks using Octave NN Package
by: Lee, Nung Kion
Published: (2015)