A survey on the optimization of artificial neural networks using swarm intelligence algorithms

BAS Emambocus, MB Jasser, A Amphawan - IEEE Access, 2023 - ieeexplore.ieee.org
Artificial Neural Networks (ANNs) are becoming increasingly useful in numerous areas as
they have a myriad of applications. Prior to using ANNs, the network structure needs to be …

An application of machine learning algorithms on the prediction of the damage level of rubble-mound breakwaters

S Saha, S De, S Changdar - Journal of …, 2024 - asmedigitalcollection.asme.org
The stability analysis of breakwaters is very important to have a safe and economic design of
these coastal protective structures and the damage level is one of the most important …

Damage Level Estimation of Rubble-Mound Breakwaters Using Deep Artificial Neural Network

S Saha, S De - International Conference on Mathematics and …, 2023 - Springer
Breakwaters perform an important role in the protection of the ports, harbours and the entire
coastal region. The optimum design of these breakwater structures and a proper stability …

Comparative Analysis of Intelligent Solutions Searching Algorithms of Particle Swarm Optimization and Ant Colony Optimization for Artificial Neural Networks Target …

AA Alfa, S Misra, A Abayomi-Alli, O Arogundade… - Proceedings of Second …, 2021 - Springer
The optimizations approaches of ant colony optimization (ACO) and particle swarm
optimization (PSO) were targeted at improving the outcomes of artificial neural networks for …