[PDF] Top 20 The Face Recognition System By Using The Radial Basis Function Neural Network (RBFNN)
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The Face Recognition System By Using The Radial Basis Function Neural Network (RBFNN)
... iaitu Radial Basis Function Neural Network ...menggunakan Radial Basis Function Neural Network ... See full document
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Online Face Recognition System Using Artificial Neural Network
... Biometric recognition system such as facial recognition system was widely developed over the past few ...Facial recognition system is commonly used in security system to ... See full document
24
Face Recognition Using Fixed Spread Radial Basis Function Neural Network
... presents face recognition using spread fixed spread radial basis function neural network for security ...The face recognition system can be ... See full document
6
Multilingual Speech Recognition Using Radial Basis Function (RBF) Neural Network
... forward neural network and it is widely used for the function approximation and pattern ...Activation function to calculate the output response of the ...the Radial Basis ... See full document
7
Research on Intention Recognition Method Based on Radial Basis Function Neural Network
... the basis of human’s action without con- sideration of necessity of using mutual information and state information of the collaboration system in human-robot ...the basis of the human-robot ... See full document
11
Time Series Prediction Using Radial Basis Function Neural Network
... daily network traffic using artificial neural networks (ANN), namely radial basis function neural network (RBFNN) ...are using statistical analysis, ... See full document
7
Identification of Nonlinear Systems Using Radial Basis Function Neural Network
... a neural network was originally conceived as an attempt to model the biophysiology of the ...artificial neural network (ANN) offers a potential solution for problems which require complex data ... See full document
7
Offline handwritten signature verification using radial basis function neural network
... It was suggested that other architectures, such as autoassociator-based classifiers and RBFNNs are more suitable for handling outliers. Baltzakis and Papamarkos [3] established the viability of a two-stage neural ... See full document
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Predicting crash frequency using an optimised radial basis function neural network model
... category, network structure, which mainly refers to the number of nodes in the hidden and input layers, is an important issue to be considered in NN model development, as it has a profound effect on the ... See full document
17
Color image retrieval using statistical model and radial basis function neural network
... extracted using a common framework based on the FRAR model with ...images using the radial basis function neural network (RBFNN) and k-means clustering ...proposed ... See full document
10
A NOVEL DIFFERENTIAL PROTECTION FOR POWER TRANSFORMER USING RADIAL BASIS FUNCTION NEURAL NETWORK
... power system, transformers and other electrical equipment need to be protected not only from short circuit, but also from abnormal operating conditions, such as over loading, and differential fault ...the ... See full document
8
Denosing CT/MRI Images Restoration using Radial Basis Function Neural Network
... Filter: Radial Basic Function Neural Network Filter Design For the most part, a RBFNN comprises of three layers: the Info layer, the RBF layer (shrouded layer) and the yield ... See full document
6
Forecasting Muar river water quality using radial basis function neural network
... 2 1.2 Problem Statement This project attempts to avoid this difficult and lengthy process by approximating the problem using Artificial Intelligence (AI). A different type of AI which is the RBFNN was used instead ... See full document
22
Prediction of Daily Network Traffic based on Radial Basis Function Neural Network
... SPREAD 200 0.343 0.007 0.036 0.064 4. CONCLUSION In this paper, the analysis using RBFNN technique to achieve the model of daily network traffic activities have been conducted in the ICT Unit, Universitas ... See full document
5
Evaluation of Radial Basis Function Neural Network minimizing L-GEM for Sensor-based Activity Recognition
... In this work, raw data was used directly without any data pre-processing. One of our future works is to combine the LGEM-trained RBFNN with better features extracted from the raw sensor data to improve activity ... See full document
19
Radial basis function neural network learning with modified backpropagation algorithm
... training with MBP algorithm using discretized data. With the hope that this proposed method will give better classification accuracy and lower error convergence rates. 1.3 Problem Statement Several parameters in ... See full document
32
Radial Basis Function Neural Networks : A Review
... RBF neural network to design a helicopter identification ...proposed using fuzzy c-means clustering instead of k-means ...that using fuzzy c-means the center of the Gaussian functions can more ... See full document
23
Direction of Arrival and State of Polarization Estimation Using Radial Basis Function Neural Network (Rbfnn)
... layer Radial Basis Function Network (RBFN) is trained with input output ...The network is then capable of estimating DOA not included in the training set through generalization and the ... See full document
14
Real-time face recognition system using radial basis function neural networks
... This project used general preprocessing approach for normali zi ng the image and Radial Basis Function (RBF) Neural Network will be used for face recognition.. As for t[r] ... See full document
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Face Recognition by Radial Basis Function Network (RBFN)
... ABSTRACT Face recognition technology using Radial Basis Function Network (RBFN) is an attractive solution for the researchers who are working on the field of machine ... See full document
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