ENHANCED WEIGHT OPTIMIZED RECURRENT NEURAL NETWORKS BASED ON SINE COSINE ALGORITHM FOR WAVE HEIGHT PREDICTION
Constructing offshore and coastal structures with the highest level of stability and lowest cost, as well as the prevention of faulty risk, is the desired plan that stakeholders seek to obtain.
Saved in:
Main Author: | ALQUSHAIBI, ALAWI ALI ALI MANEA |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | http://utpedia.utp.edu.my/22719/1/ALAWI%20ALI%20ALI%20MANEA%20ALQUSHAIBI_1800055.pdf http://utpedia.utp.edu.my/22719/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhanced weight-optimized recurrent neural networks based on sine cosine algorithm for wave height prediction
by: Alqushaibi, A., et al.
Published: (2021) -
Spiral sine-cosine algorithm for global optimization
by: Nurul Amira, Mhd Rizal, et al.
Published: (2019) -
Adaptive sine-cosine algorithms for global optimization
by: Mohd Falfazli, Mat Jusof, et al.
Published: (2018) -
An improved sine cosine algorithm for solving optimization problems
by: Mohd Helmi, Suid, et al.
Published: (2018) -
Exponentially adaptive sine-cosine algorithm for global optimization
by: Mohd Falfazli, Mat Jusof, et al.
Published: (2019)