Transient Stability Assessment of a Power System Using Probabilistic Neural Network

Regarding neural networks performance in terms of AUC, Table 4 shows that, when using the 22 characteristics, regularization and early stop neural network criteria

A multi-layer perception neural network was used to estimate the thermal efficiency and resistance of a thermosyphon during application of a magnetic field and using nanoparticles

In Section 3, we present the results on global exponential stability of a general class of nonautonomous delay differential equations, which includes most of neural network models..

In this paper, an RBF neural network was used as a classifier in the face and fingerprint recognition system in which the inputs to the neural network are

The proposed neural network wind power forecasting system takes three input parameters, wind speed, relative humidity and generation hours.. NEURAL NETWORK FORECASTING

This paper presents the application of Radial Basis Function Neural Network (RBFNN) for vulnerability assessment of power system incorporating a new proposed

Abstract — in this paper, a new method is derived for the existence of a common quadratic Lyapunov function for Robust Stability Analysis of Fuzzy Elman Neural Network using

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