[PDF] Top 20 Prediction of Daily Network Traffic based on Radial Basis Function Neural Network
Has 10000 "Prediction of Daily Network Traffic based on Radial Basis Function Neural Network" found on our website. Below are the top 20 most common "Prediction of Daily Network Traffic based on Radial Basis Function Neural Network".
Prediction of Daily Network Traffic based on Radial Basis Function Neural Network
... predicting daily network traffic using artificial neural networks (ANN), namely radial basis function neural network (RBFNN) ...predict daily ... See full document
5
ELECTRICITY CONSUMPTION PREDICTION SYSTEM USING A RADIAL BASIS FUNCTION NEURAL NETWORK
... Regressive Integrated Moving Average with external inputs (ARIMAX) model has also been applied to some applications, forecast- ing the electricity demand of the buildings (Hoffman, 1998). Arimah (1993) has fore- casted ... See full document
20
A Method for Fast Establishing Tropospheric Refractivity Profile Model Based on Radial Basis Function Neural Network
... with radial basis function as activation function, which has excellent nonlinear approximation capabilities ...series prediction, pattern recognition, and complex ...series ... See full document
10
A Neuro-fuzzy approach for user behaviour classification and prediction
... or network access, ...neuro-fuzzy-based prediction system monitors the his- tory of network/web usage of users and then predicts the behaviour as one of the predefined ...the network is ... See full document
15
Research on Intention Recognition Method Based on Radial Basis Function Neural Network
... learning based method (radial basis function neural network model) was adopted in this paper to recognize the collaborator’s intention during human-robot ...of neural ... See full document
11
Prediction of Salinity Variations in a Tidal Estuary Using Artificial Neural Network and Three Dimensional Hydrodynamic Models
... A neural network consists of a large number of simple processing elements that are called neurons and ...the network, i.e ., the model neuron, is shown in Figure 2. Neural networks can be ... See full document
22
STOCK MARKET PREDICTION USING BIO-INSPIRED COMPUTING: A SURVEY
... various neural network models i.e functional link artificial neural network(FLANN),Radial basis function neural network(RBFNN) local linear wavelet ... See full document
8
EFFICIENT SCHEDULING OF WORKFLOW IN CLOUD ENVIORNMENT USING BILLING MODEL AWARE TASK CLUSTERING
... linear prediction analysis (LPC), Linear Prediction Cepstral Coefficients (LPCC) and Mel frequency Cepstral Coefficients ...layer radial basis function neural network ... See full document
6
Abstract: A radial basis function network (RBFN) method is proposed to reconstruct daily Sea
... functions. Radial basis function network (RBFN) is an artificial neural network that uses radial basis functions (RBFs) as activation functions in the field of ... See full document
13
Novel Ensemble Neural Network Models for better Prediction using Variable Input Approach
... Artificial Neural Network (ANN) models, namely, Multilayer Perceptron Network (MLPN), Elman Recurrent Neural Network (ERNN), Radial Basis Function Network ... See full document
9
An Adaptive Neural Network Based Energy Storage Control for Operation Enhancement of a Multi-Generator AC and Wind Power System
... adaptive neural network (NN) control a capacitor ES device for a multi-generator power system with mixed AC and doubly fed induction generator (DFIG) has been investigated in this ...employing radial ... See full document
12
Forecasting accuracy: a comparative study between artificial neural network and autoregressive model for streamflow
... the daily discharge of river basin using Adaptive Neuro-Fuzzy Inference Systems (ANFIS) and it appears more accurate compared to ANN and Multiple Nonlinear Regression ...the Radial Basis ... See full document
9
Radial basis function neural network learning with modified backpropagation algorithm
... 2002). Based on different theoretical origins there are many types, such as supervised versus unsupervised, global versus local and dynamic versus static (Agre and Peev, 2002; Saad et ... See full document
32
A Survey of Forecasting Preprocessing Techniques using RNs
... (Artificial Neural Networks) have been proposed to solve prediction ...that neural nets often offer better performance, especially for difficult time series than are hard to deal with classical ... See full document
20
COMPARATIVE ASSESSMENT OF RADIAL BASIS FUNCTION NEURAL NETWORK AND MULTIPLE LINEAR REGRESSION APPLICATION TO TRIP GENERATION MODELLING IN AKURE, NIGERIA
... Artificial Neural Networks. Applications of Artificial Neural Networks have produced excellent results in many areas of ...research. Neural Networks have become well known as ‘universal ...the ... See full document
14
Applying ANN, ANFIS, and LSSVM Models for Estimation of Acid Solvent Solubility in Supercritical CO
... as radial basis function artificial neural network, Multi-layer Perceptron artificial neural network, Least squares support vector machine and adaptive neuro-fuzzy ... See full document
36
Active Disturbance Rejection Control for a Class of Non affine Nonlinear Systems via Neural Networks
... controller based on radial basis function (RBF) neural network is proposed for a class of non-affine nonlinear systems in this ...RBF neural network is used to ... See full document
5
Face Recognition using Rectangular Feature
... A radial basis function network is an artificial neural network that uses radial basis functions as activation ...of radial basis functions. They are ... See full document
5
The Face Recognition System By Using The Radial Basis Function Neural Network (RBFNN)
... system based on the neural ...the Radial Basis Function Neural Network (RBFNN) is chosen to be the medium of the face recognition ... See full document
24
Learning enhancement of radial basis function neural network with harmony search algorithm
... According to Kulluk et al. (2012) Harmony Search Algorithm (HSA) is a meta-heuristic optimization algorithm motivated from the process of making music. In HS algorithm each decision variable (musical instrument) ... See full document
31
Related subjects