[PDF] Top 20 Transient Stability Assessment of a Power System Using Probabilistic Neural Network
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Transient Stability Assessment of a Power System Using Probabilistic Neural Network
... presents transient stability assessment of electrical power system using Probabilistic Neural Network (PNN) and principle component ...analysis. ... See full document
8
Power System Stability Enhancement Using Unified Power Flow Controller
... Modern power system network is getting much more complicated and heavily loaded than ever ...consequence of such is the risk of stability problem. Transient ... See full document
5
Assessment of Power Quality Disturbances in the Distribution System Using Kalman Filter and Fuzzy Expert System
... combination of DFT wavelet transform and Kalman filter has been presented in [15] for the detection and analysis of voltage event in power ...wavelet network based neural network ... See full document
13
Comparative Study of Backpropagation Algorithms in Neural Network Based Identification of Power System
... Applications of ANNs in reactive power transfer allocation [10] and ATC estimation [11] have been ...reported. Stability issues like damping of oscillations [12-14], prediction of ... See full document
15
Vulnerability Assessment of Power System Using Radial Basis Function Neural Network and a New Feature Extraction Method
... the power system, in which the data are assumed to be of physical interest for vulnerability ...test system. The procedures involved in power system vulnerability ... See full document
9
Transient Stability Analysis of a Three-machine Nine Bus Power System Network
... analyzing transient stability of a three-machine nine bus power system ...set of closed loop transfer functions, one for each synchronous generator and is derived by taking ... See full document
7
Prediction of users’ future requests using neural network
... task of this component is receiving the user’s current access session and producing a recommendation list for the active ...use Neural Network to find the most similar cluster to the user’s current ... See full document
6
PREDICTION OF GLIOMA USING GENETIC OPTIMIZED NEURAL NETWORK
... kinds of noises, de-noising should be performed to improve the image quality for more accurate ...objective of image denoising techniques is to remove such noises while retaining as much as possible the ... See full document
13
Prediction of Skin Penetration using Artificial Neural Network
... database of skin permeability containing 20 data points was compiled from literature 19 ...trained neural network. In addition, the predictability of the neural network model was ... See full document
6
Image Segmentation using bi directional of neural network
... form of signal processing for which the input is an image, such as photographs; the output of image processing can be either an Image or a set of characteristics or parameters related to the ...use ... See full document
11
An Adaptive Two-Stage BPNN–DCT Image Compression Technique
... – Neural Networks offer the potential for providing a novel solution to the problem of data compression by its ability to generate an internal data ...This network, which is an application of ... See full document
4
Power Flow Analysis and Self-recovery of Electrical Energy Distribution Network Using Artificial Neural Networks
... operators of an electrical power system or Distribution Operating Center (DOC), Elipse Software was used and made clearer what were the alternatives for the post-failure situation, that is, the ... See full document
10
Probabilistic Artificial Neural Network For Recognizing the Arabic Hand Written Characters
... plurality of settings is automated recognition of textual ...set of the machine printed/hand written characters is intended to ...task of recognized characters can be broadly separated into ... See full document
6
Faults Classification of a Scooter Engine Platform Using Wavelet Transform and Artificial Neural Network
... The neural network using a multiplayer perception classifier with error back propagation (BP) algorithm based on supervised learning rule is applied for training and testing the classifier in the ... See full document
6
Sobre a aplicação de sistemas inteligentes para diagnóstico de falhas em máquinas de indução - uma visão geral.
... rede neural recorrente integrada `a modelagem Bayesiana Dinˆamica com o in- tuito de detectar enrolamentos curto-circuitados no es- tator, rachaduras nas esferas internas dos rolamentos ou um motor saud´avel (Cho ... See full document
17
Sentence Recognition Using Hopfield Neural Network
... type of communication can have wide ramification as such a system could find wide usage in several ...amount of input that could be given in natural languages present a huge challenge for machine ... See full document
6
A contribution to the use of Hopfield neural networks for paramater estimation
... each of the four cases, the initial estimates of k and b were randomly generated according to the continuous uniform dis- tribution U(]0, ...the system data is corrupted by noise, we repeated the ... See full document
6
Bol. Ciênc. Geod. vol.23 número1
... analysis of Table 6 shows that in our case of coordinate transformation from WGS84 datum to Accra datum using GTM, the ANN-ECMs are superior to AM and OP used in the GTM ...value of ... See full document
21
Palm Vein Recognition System using Directional Coding and Back-propagation Neural Network
... recognition system by using back-propagation neural networks for biometric ...because of the high development cost, vein pattern is not popular biometric as compared to other biometric ... See full document
6
Arq. NeuroPsiquiatr. vol.66 número2A
... duration of crises (13) after critical events, including mental confusion, sleepiness, paralyses, vomiting and body ache; (14) generalized tonic, clonic, tonic-clonic, absence seizure (petit mal), atonic signs and ... See full document
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