Journal ArticleDOI
Network Traffic Prediction based on Particle Swarm BP Neural Network
Yan Zhu,Guanghua Zhang,Jing Qiu +2 more
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TLDR
A new BP Neural network based on Artificial Bee Colony algorithm and particle swarm optimization algorithm is proposed to optimize the weight and threshold value of BP neural network and it is concluded that optimized BP network traffic prediction based on PSO-ABC has high prediction accuracy and has stable prediction performance.Abstract:
The traditional BP neural network algorithm has some bugs such that it is easy to fall into local minimum and the slow convergence speed. Particle swarm optimization is an evolutionary computation technology based on swarm intelligence which can not guarantee global convergence. Artificial Bee Colony algorithm is a global optimum algorithm with many advantages such as simple, convenient and strong robust. In this paper, a new BP neural network based on Artificial Bee Colony algorithm and particle swarm optimization algorithm is proposed to optimize the weight and threshold value of BP neural network. After network traffic prediction experiment, we can conclude that optimized BP network traffic prediction based on PSO-ABC has high prediction accuracy and has stable prediction performance.read more
Citations
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Journal ArticleDOI
A comprehensive survey on machine learning for networking: evolution, applications and research opportunities
Raouf Boutaba,Mohammad A. Salahuddin,Noura Limam,Sara Ayoubi,Nashid Shahriar,Felipe Estrada-Solano,Felipe Estrada-Solano,Oscar Mauricio Caicedo +7 more
TL;DR: This survey delineates the limitations, give insights, research challenges and future opportunities to advance ML in networking, and jointly presents the application of diverse ML techniques in various key areas of networking across different network technologies.
Journal ArticleDOI
Data Fusion for Multi-Source Sensors Using GA-PSO-BP Neural Network
TL;DR: A multi-source data fusion model that combines information from floating vehicles and microwave sensors, and that, by using GA-PSO-BP neural network is proposed, has combined GA and PSO ingeniously and can overcome the difficulties of the traditional fusion model of its estimation inaccuracy.
Journal ArticleDOI
Intelligent Hybrid Model to Enhance Time Series Models for Predicting Network Traffic
Theyazn H. H. Aldhyani,Melfi Alrasheedi,Ahmed Abdullah Alqarni,Mohammed Alzahrani,Alwi M. Bamhdi +4 more
TL;DR: The main aim of the presented research is to propose a new methodology to improve network traffic prediction by using sequence mining using an integrated model that combines clustering with existing series models to enhance prediction the network traffic.
Journal ArticleDOI
A predictive model on size of silver nanoparticles prepared by green synthesis method using hybrid artificial neural network-particle swarm optimization algorithm
TL;DR: It was found that the feed rate, AgNO3 to opium ratio and agitation speed have the greatest impact on the particle size of the final product, respectively.
Journal ArticleDOI
A Review on Machine Learning Strategies for Real-World Engineering Applications
TL;DR: In this article , the authors provide a complete study of managing real-time engineering applications using machine learning, which will improve an application's capabilities and intelligence, and highlight the research objectives and obstacles that machine learning approaches encounter while managing realworld applications.
References
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Journal ArticleDOI
On the performance of artificial bee colony (ABC) algorithm
Dervis Karaboga,Bahriye Basturk +1 more
TL;DR: The simulation results show that the performance of ABC algorithm is comparable to those of differential evolution, particle swarm optimization and evolutionary algorithm and can be efficiently employed to solve engineering problems with high dimensionality.
Journal ArticleDOI
Particle swarm optimization to solving the economic dispatch considering the generator constraints
TL;DR: In this paper, a particle swarm optimization (PSO) method for solving the economic dispatch (ED) problem in power systems is proposed, and the experimental results show that the proposed PSO method was indeed capable of obtaining higher quality solutions efficiently in ED problems.
Proceedings ArticleDOI
Particle swarm optimization with particles having quantum behavior
TL;DR: The individual particle of a PSO system moving in a quantum multidimensional space is studied and a quantum delta potential well model for PSO is established and a trial method of parameter control and QDPSO is proposed.
Journal ArticleDOI
A New Particle Swarm Optimization Solution to Nonconvex Economic Dispatch Problems
A.I. Selvakumar,K. Thanushkodi +1 more
TL;DR: A split-up in the cognitive behavior of the classical particle swarm optimization (PSO) is proposed, that is, the particle is made to remember its worst position also, which helps to explore the search space very effectively.
Journal ArticleDOI
A hybrid particle swarm optimization for distribution state estimation
TL;DR: In this article, a hybrid particle swarm optimization (HPSO) was proposed for a practical distribution state estimation, which considers nonlinear characteristics of the practical equipment and actual limited measurements in distribution systems.
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