Hybrid Multi-Biometric Person Authentication System

Graphs in Figure 8 compare the experimental values of the moles of sorbitol (not used for training) and those values computed by the hybrid model in which the neural network

The proposed complex valued radial basis function (RBF) neural network with phase transmittance (PTRBFNN) outperforms the classical complex valued RBF neural network (RBFNN)

This is where the neural network comes into play: The neural network is now facilitated to the workings of the function f in (14) to obtain the predictions y ˆ N .Now

In this paper, we employed the state-of-the-art nonparametric machine learning models: neural networks, Bayesian neural network, Gaussian process, and support vector regression,

In this paper, a robust 4-layer Convolutional Neural Network (CNN) architecture is proposed for the face recognition problem, with a solution that is capable of handling

Instead of using the iteration method, a trained Neural Network can be used as an estimator to predict the internal control variable ( K ) in the UPFC system.. POWER

In this work, error back-propagation based neural network is designed in MATLAB for automatic selection of open source software.. The system provides the open

In this paper, a scooter fault diagnosis system based on continuous wavelet transform technique and faults classification using artificial neural network for the purpose of the