Prediction of network traffic in wireless mesh networks using hybrid deep learning model
S Mahajan, R HariKrishnan, K Kotecha - IEEE Access, 2022 - ieeexplore.ieee.org
Wireless mesh networks are getting adopted in the domain of network communication. Their
main benefits include adaptability, configuration, and flexibility, with added efficiency in cost …
main benefits include adaptability, configuration, and flexibility, with added efficiency in cost …
Small-time scale network traffic prediction based on flexible neural tree
Y Chen, B Yang, Q Meng - Applied Soft Computing, 2012 - Elsevier
In this paper, the flexible neural tree (FNT) model is employed to predict the small-time scale
traffic measurements data. Based on the pre-defined instruction/operator sets, the FNT …
traffic measurements data. Based on the pre-defined instruction/operator sets, the FNT …
Chaos-based multigene genetic programming: A new hybrid strategy for river flow forecasting
Chaos theory is integrated with Multi-Gene Genetic Programming (MGGP) engine as a new
hybrid model for river flow forecasting. This is to be referred to as Chaos-MGGP and its …
hybrid model for river flow forecasting. This is to be referred to as Chaos-MGGP and its …
A novel hybridization of echo state networks and multiplicative seasonal ARIMA model for mobile communication traffic series forecasting
Y Peng, M Lei, JB Li, XY Peng - Neural Computing and Applications, 2014 - Springer
For mobile communication traffic series, an accurate multistep prediction result plays an
important role in network management, capacity planning, traffic congestion control, channel …
important role in network management, capacity planning, traffic congestion control, channel …
A novel hybrid neural network based on phase space reconstruction technique for daily river flow prediction
H Delafrouz, A Ghaheri, MA Ghorbani - Soft Computing, 2018 - Springer
The main purpose of this study is to construct a new hybrid model (PSR–ANN) by combining
phase space reconstruction (PSR) and artificial neural network (ANN) techniques to raise …
phase space reconstruction (PSR) and artificial neural network (ANN) techniques to raise …
Traffic prediction in 3G mobile networks based on multifractal exploration
Traffic prediction plays an integral role in telecommunication network planning and network
optimization. In this paper, we investigate the traffic forecasting for data services in 3G …
optimization. In this paper, we investigate the traffic forecasting for data services in 3G …
A dynamic runtime coupling metric for meta-level architectures
Y Hassoun, R Johnson… - … European Conference on …, 2004 - ieeexplore.ieee.org
The extent of coupling in an object-oriented system has implications for its quality in terms of
software maintenance. In turn, the extent of reuse in a software system also has implications …
software maintenance. In turn, the extent of reuse in a software system also has implications …
[PDF][PDF] Network Traffic Prediction based on Particle Swarm BP Neural Network.
Y Zhu, G Zhang, J Qiu - J. Networks, 2013 - Citeseer
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 …
local minimum and the slow convergence speed. Particle swarm optimization is an …
A novel hybrid network traffic prediction approach based on support vector machines
Network traffic prediction performs a main function in characterizing network community
performance. An approach which could appropriately seize the salient characteristics of the …
performance. An approach which could appropriately seize the salient characteristics of the …
[PDF][PDF] 一种基于相关分析的局域最小二乘支持向量机小尺度网络流量预测算法
唐舟进， 彭涛， 王文博 - 物理学报, 2014 - wulixb.iphy.ac.cn
本文分析了网络流量数据的特性, 针对传统预测算法在预测网络流量时的缺陷提出了一种基于
相关分析的相关局域最小二乘支持向量机(LSSVM) 预测算法. 算法在对训练数据重构相空间后 …
相关分析的相关局域最小二乘支持向量机(LSSVM) 预测算法. 算法在对训练数据重构相空间后 …