Artificial bee colony algorithm based on dimensional memory mechanism and adaptive elite population for training artificial neural networks
Y Zhang, B Pang, Y Song, Q Xu, X Yuan - IEEE Access, 2023 - ieeexplore.ieee.org
Based on dimensional memory mechanism and adaptive elite population, this paper
proposes a satisfactory and efficient artificial bee colony algorithm (DMABC_elite) to solve …
proposes a satisfactory and efficient artificial bee colony algorithm (DMABC_elite) to solve …
Optimized design of hybrid genetic algorithm with multilayer perceptron to predict patients with diabetes
OY Dweekat, SS Lam - Soft Computing, 2023 - Springer
Diabetes is a set of long-term metabolic issues characterized by high blood glucose levels
over a drawn-out time. It is a challenging and threatening disease because nearly half of …
over a drawn-out time. It is a challenging and threatening disease because nearly half of …
Hybrid of PSO-ANN and PCA-SVR Models for the Prediction of External Corrosion in Pipeline Infrastructure: A Comparative Study
H Amzar, MI Haziq, Z May - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
This paper compares two models, PSO-ANN and PCASVR, for predicting pipeline corrosion.
PSO-ANN uses Particle Swarm Optimization, PCA-SVR uses Principal Component Analysis …
PSO-ANN uses Particle Swarm Optimization, PCA-SVR uses Principal Component Analysis …
[PDF][PDF] Elements of Chaos Theory in Particle Swarm Optimization and Its Time Reversal
A Bhattacharya - 2023 - researchgate.net
The stability and convergence of PSO is a well-proven result from the perspective of
dynamical systems. We have further analysed PSO from the perspective of chaos theory and …
dynamical systems. We have further analysed PSO from the perspective of chaos theory and …