Training a neural network for cyberattack classification applications using hybridization of an artificial bee colony and monarch butterfly optimization
WAHM Ghanem, A Jantan - Neural Processing Letters, 2020 - Springer
Arguably the most recurring issue concerning network security is building an approach that
is capable of detecting intrusions into network systems. This issue has been addressed in …
is capable of detecting intrusions into network systems. This issue has been addressed in …
Risk management system and intelligent decision-making for prefabricated building project under deep learning modified teaching-learning-based optimization
H Liu, Y He, Q Hu, J Guo, L Luo - PLoS One, 2020 - journals.plos.org
This study establishes a model of prefabricated building project risk management system
based on the Modified Teaching-Learning-Based-Optimization (MTLBO) algorithm and a …
based on the Modified Teaching-Learning-Based-Optimization (MTLBO) algorithm and a …
An improved artificial electric field algorithm and its application in neural network optimization
J Cheng, P Xu, Y Xiong - Computers and Electrical Engineering, 2022 - Elsevier
Artificial electric field (AEF) algorithm is a newly developed meta-heuristic optimization
technique inspired by the Coulomb's law of electrostatic force. As so far, AEF algorithm has …
technique inspired by the Coulomb's law of electrostatic force. As so far, AEF algorithm has …
Parameter control based cuckoo search algorithm for numerical optimization
J Cheng, Y Xiong - Neural Processing Letters, 2022 - Springer
Cuckoo search (CS) algorithm is an efficient search technique for addressing numerical
optimization problems. However, for the basic CS, the step size and mutation factor are …
optimization problems. However, for the basic CS, the step size and mutation factor are …
An analytical framework for high-speed hardware particle swarm optimization
Engineering optimization techniques are computationally intensive and can challenge
implementations on tightly-constrained embedded systems. Particle Swarm Optimization …
implementations on tightly-constrained embedded systems. Particle Swarm Optimization …
[Retracted] Safety Risk Assessment of Tourism Management System Based on PSO‐BP Neural Network
W Guo - Computational Intelligence and Neuroscience, 2021 - Wiley Online Library
With the development of science and technology, system management is gradually applied
to tourism management. How to correctly assess the security risks of the tourism …
to tourism management. How to correctly assess the security risks of the tourism …
[Retracted] Sports Action Recognition Based on Particle Swarm Optimization Neural Networks
R Zhang - Wireless Communications and Mobile Computing, 2022 - Wiley Online Library
Video acquisition has become more convenient as science and technology have
progressed, and the development of mobile Internet has resulted in a large amount of video …
progressed, and the development of mobile Internet has resulted in a large amount of video …
Design of configurable multi-mode trigger unit
Trigger mechanism plays a crucial role in the controlled triggering of events in reflectometry
applications. Reflectometer configurations used for density profile measurement with …
applications. Reflectometer configurations used for density profile measurement with …
Neighborhood Learning-Based Cuckoo Search Algorithm for Global Optimization
Y Xiong, J Cheng, L Zhang - International Journal of Pattern …, 2022 - World Scientific
This paper presents a new variant of cuckoo search (CS) algorithm named neighborhood
learning-based CS (NLCS) to address global optimization problems. Specifically, in this …
learning-based CS (NLCS) to address global optimization problems. Specifically, in this …
[HTML][HTML] Innovative application of particle swarm algorithm in the improvement of digital enterprise management efficiency
S Zhang - Systems and Soft Computing, 2024 - Elsevier
At present, the management of most enterprises still adopts the traditional business model,
which is difficult to meet the requirements of modern informatization. To effectively improve …
which is difficult to meet the requirements of modern informatization. To effectively improve …