[PDF] Top 20 Procedimiento para la evaluación de la calidad de los servicios del Banco Popular de Ahorro
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Discrimination of Power Quality Distorted Signals Based on Time-frequency Analysis and Probabilistic Neural Network
... devices, power quality issue has become more important than ...of Power Quality Distorted Signals (PQDSs) is an essential task in the power ...well-known time- ... See full document
5
Classification of Power Quality Events Using Wavelet Analysis and Probabilistic Neural Network
... Power quality studies have become an important issue due to widespread use of sensitive electronic equipment in power ...of power quality degradation must be investigated in order to ... See full document
5
Comparison Of Power Quality Disturbances Classification Based On Neural Network
... Power quality is defined as any deviation in power (voltage, current, or frequency) that impacts the normal operation of electrical ...Poor power quality may result many ... See full document
5
An improvised Power Quality of power grid using UPGC based on modified neural network
... artificial neural Network (ANN) is considered as a brand new device to layout manipulates circuitry for Power Quality (PQ) ...ANN-primarily based controller is designed for the ... See full document
26
MULTI LEVEL GROUP KEY MANAGEMENT TECHNIQUE FOR MULTICAST SECURITY IN MANET
... Analysis of clutter and noise data acquisition of radar exploration 40 cm thick across the wall through launched of electromagnetic wave. Do histogram to clutter signal, figure 4.1 is a sampling clutter signal ... See full document
184
Artificial Intelligence Based Power Quality Disturbance Analysis for Power Quality Improvement
... In power systems, the protective devices will detect fault conditions and operate circuit breakers and other devices to limit the loss of service due to a ...applicable. Analysis of such type of fault is ... See full document
62
An Artificial Neural Network Based Approach for Forecasting the Frequency of Power Grid to Achieve Optimal Frequency Stabilization
... like neural network and neuro-fuzzy system, leads to the computation of different parameter in advance for the purposes like safety, operation, expansion, risk management, market analysis, ...the ... See full document
12
Support Vector Machine Neural Network Based Optimal Binary Classifier for Diabetic Retinopathy
... the neural network as optimal binary classifier for diabetic ...layer neural network and principal component based performance analysis is ...Component Analysis (PCA) and ... See full document
10
Performance analysis of neural network based control of hypnosis and analgesia during anesthesia by employing a pharmacokinetic pharmacodynamic model
... additional time and flexibility to anesthesiologists to spotlight on significant issues that may occur for the duration of the ...is based on the patient’s ... See full document
120
Freight-Forward Agreement Time series Modelling Based on Artificial Neural Network Models
... Extensive literature in the shipping market and shipping derivatives [2] to [4] describe in detail the statistical and stochastic background of shipping derivatives, along with their uses regarding their pricing, and ... See full document
9
An Artificial Neural Network Based Real-time Reactive Power Controller
... devices, power analyzers, and microcontroller ...different power factor value based on actual distribution ...overall power factor of the system in normal ...from power analyzer in ... See full document
46
Voltage stability analysis of load buses in electric power system using adaptive neuro fuzzy inference system (ANFIS) and probabilistic neural network (PNN)
... of neural networks for analysing voltage stability of load buses in electric power ...load power margin (LPM) are used as the indicators for analysing voltage ...The neural networks used in ... See full document
11
Detection of Network Intrusion Threat Based on the Probabilistic Neural Network Model
... the network at a low cost without professional knowledge ...malicious network attacks. Therefore, network intrusion detection is getting more and more attention with the development of ...to ... See full document
59
Recognition of Multiple PQ Issues using Modified EMD and Neural Network Classifier
... PQ signals at different SNR ...PQ signals having SNR of 20 dB, 30 dB and 40 dB has been presented in Table ...PQ signals. Though, both PNN and SVM are based on Gaussian function; in the case ... See full document
81
Comparison of Artificial Intelligence Methods on the Example of Tea Classification Based on Signals from E nose Sensors
... systems based on radial neural networks (PNN and RBF) and fuzzy logic (ANFIS and FUZZY) obtained the best results in accuracy criteria, as they always classified all kinds of tea ...training time (CC2 ... See full document
25
Modeling for Prediction of Characteristic Deflection of Flexible Pavements- Comparison of Models Based on Artificial Neural Network and Multivariate Regression Analysis
... and time consuming, and alternate modeling methods to estimate surface deflection of a pavement, therefore, would result in substantial savings in time and money in the preparation of detailed project ... See full document
19
Digital Modulation Classification Using the Bees Algorithm and Probabilistic Neural Network Based on Higher Order Statistics
... same time, its complexity has been reduced. Based on simulation results, it was found out that some features carried useful information in detaching some modulation types, but had weak efficiency in other ... See full document
26
Classification of aircraft images using different architectures of radial basis function neural network : a performance comparison
... classification performance of Goal Oriented Radial Basis Architecture, Generalized Gaussian. Neural Network Architecture and Probabilistic Neural Network Architecture is [r] ... See full document
5
A Survey Paper on Detection and Classification of Leaf Diseases in Plants
... advice based on its knowledge and information but sometimes seeking the expert advice is time consuming, expensive and may be not ...Artificial Neural Network, Probabilistic ... See full document
28
Download Download PDF
... Artificial neural networks controller has been investigated for automatic load frequency con- trol of a single area and two area power ...good quality and reliable electric ...parameters. ... See full document
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