[PDF] Top 20 Multivariate synthetic streamflow generation using a hybrid model based on artificial neural networks
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Multivariate synthetic streamflow generation using a hybrid model based on artificial neural networks
... the generation of multiple future hydrological scenarios spanning several months in the future (between 24 and 60, depending on the basin); these are conditioned to the hydrological situation at the moment ... See full document
14
RegnANN: Reverse Engineering Gene Networks using Artificial Neural Networks.
... gene networks based on an ensemble of multilayer ...focuses on synthetic data mimicking plausible submodules of larger networks and on biological data consisting of ... See full document
19
Prediction of Electrochemical Machining Process Parameters using Artificial Neural Networks
... different neural networks models to predict the surface finish based on the effect of changing the electrode polarity in the EDM ...a hybrid neural network and genetic algorithm ... See full document
8
J. Braz. Soc. Mech. Sci. & Eng. vol.34 número3
... solutions. Artificial Neural Network (ANN) is a model of biological neuron ...computed using gradient search ...search based on natural genetics, population of points at time, ... See full document
9
Bio-Measurements Estimation and Support in Knee Recovery through Machine Learning
... learning based solution for performing measurements of knee range of motion using convolutional neural networks is presented, supported by the generation of a synthetic ... See full document
67
VOICE RECOGNITION USING ARTIFICIAL NEURAL NETWORKS AND GAUSSIAN MIXTURE MODELS
... implications on the speech feature classification ...were based on correlation analysis of the speech features of speakers from the ANN and ... See full document
10
Evaluation of deciduous broadleaf forests mountain using satellite data using neural network method near Caspian Sea in North of Iran
... changes using remote sensing and GIS. Based on this, Landsat satellite images of 2000 and 2013 will be ...done using neural network classification method. Neural networks ... See full document
6
Digital soil mapping using reference area and artificial neural networks
... map using artificial neural networks (ANN) and environmental variables that express soil- landscape ...The neural network simulator used was the Java NNS with the learning algorithm ... See full document
8
ECG Biometrics using Deep Neural Networks
... accuracy on the ECG-ID ...task using the MIT-BIH ...result on 8 different ...patients using the IDEAL database as well as the PTB diagnostic ECG database, achieving 100% accuracy on the ... See full document
71
SELF TUNING CONTROLLERS FOR DAMPING LOW FREQUENCY OSCILLATIONS
... UPFC is one of the famous FACTs devices that is used to improve power system stability. Figure 1 shows a single machine infinite bus (SMIB) system (Heffron-Philips model of a power system installed with UPFC) with ... See full document
8
REDES NEURAIS ARTIFICIAIS COMO NOVA FERRAMENTA PARA AVALIAÇÃO E MONITORAMENTO DA UMIDADE DA MADEIRA
... The relationship between the basic density and wood moisture after saturation showed a Pearson correlation coefficient of 0.995, which can be explained by the fact that materials with lower basic density have higher void ... See full document
7
As redes neurais artificiais e o ensino da medicina.
... discussions on the teaching- -learning process in medical ...highlight artificial neural networks (ANN) – computer systems with a mathematical structure inspired by the human brain – which ... See full document
9
Design of Circular Microstrip Antenna Using Artificial Neural Networks
... an artificial neural network (ANN) model has been developed for design of circular microstrip patch ...proposed neural model completely bypasses the repeated use of complex iterative ... See full document
4
Incident and Traffic-Bottleneck Detection Algorithm in High-Resolution Remote Sensing Imagery
... detection using aerial imagery involves information and data related to GIS and these data need to be updated every certain period of time ...detection on highways. Some other real-time applications ... See full document
20
Driving IT projects to success: stakeholders’ importance: an artificial neural network model to demonstrate the potential of using stakeholder characteristics in IT projects’ success estimation
... The three first steps in the data mining process regards the collection, understanding and preparation of data, which has partially been done outside of SAS Miner. These three steps are essential because real-world data ... See full document
31
Braz. J. Chem. Eng. vol.26 número1
... so on, Specially it is desired to have the minimum difference between the predicted and observed (actual) outputs (Richon and Laugier, ...2003). Artificial neural networks are biological ... See full document
8
Hybrid Intelligent Model for Software Maintenance Prediction
... of neural network is a "typical delegate"[9]. Neural Network may suffer from local minimum and also from the slowness of ...the model with tuning some parameters can enhance the speed of ... See full document
5
Hybrid artificial intelligence algorithms for short-term load and price forecasting in competitive electric markets
... When using WT an important decision has to be made: the selection of a suitable mother wavelet, in the particular STLF case, the choice of Daubechies family wavelets is almost consensual, with special emphasis ... See full document
111
An hybrid approach based on neural networks and regression Tree Models for fast dynamic security assessment
... instability. Based on the set-point values of the installed load shedding relays, the system was considered to lose security if the negative frequency deviations ('f) go bellow –2 ... See full document
6
Development of a zero trans margarine from soybean-based interesterified fats formulated using artificial neural networks
... studied. Artificial neural networks (ANNs) have been used for this ...ANN, using soybean-based interesterified fats for the production of a zero trans fat margarine similar to a ... See full document
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