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Year: 2015, Volume: 15, Number: 2
... Nowadays small solar panels suffice to ensure paper, mathematical modeling of photovoltaic energy continued operation and a large number ... charges supercapacitors at maximum efficiency. It uses photovoltaic panel model have been validated through 70 mAh Li-Polymer battery and ... 10 F super capacitors experimentation. Also the practical verification of the as energy storage elements. It also utilizes ...
Year: 2017, Volume: 17, Number: 1
... third ai is the Lagrange multiplier. section introduces the modeling data and evaluation index of According to KTT: ... Number 1, 2017 Wind Power Prediction Based on LS-SVM Model with Error Correction Yagang ZHANG1,2, Penghui ... forward inequality constraints into equality constraints and taking the some models based on the combination of two or more than ...
Year: 2018, Volume: 18, Number: 2
... issues from classical e-Learning systems. Among the most Learner modeling is accomplished in most of the cases general challenging ... similar accuracy of initial that can produce a more interpretable model. classification models built on raw available data. ... building highly interpretable educational purposes transformed many previously tackled classification models. issues from classical e-Learning systems. Among the ...
Year: 2012, Volume: 12, Number: 2
... (SPs). Threads can be information on the modeling of dynamic synapse can be grouped into blocks with ... and generates a spike at the output u. Further model of a spiking neural network implemented in CUDA C ... It information on I&F models can be found in [9 ], [10], [ ...
Year: 2017, Volume: 17, Number: 2
... source software, query processing, runtime. temporal database modeling. Section IV describes the proposed conceptual model using ... Volume 17, Number 2, 2017 A New Optimized Model to Handle Temporal Data using Open Source Database Shailender ... proposes tuple conventional databases. Consequently, different temporal data models have been proposed and implemented as an extension time ...
Year: 2010, Volume: 10, Issue: 4
... mathematical Besides, considering a situation in which renewable energies modeling of FIR filters and coding concepts is discussed and ... performance is compared to that of conventional methods. The model is based on linear predictive filtering and popular tools ... of its behavior an inevitable task for market planners and models that provide satisfactory prediction on the basis of energy ...
Year: 2017, Volume: 17, Number: 3
... , Number 3, 2017 sequences and the time series modeling for these stationary ƒ‚ ‚ €, ƒ‘ 2 ... focused on the improvement of wind series wind speed prediction model based on Lorenz speed and power prediction methods. ... [12] can be used to build precise prediction models with limited sample sequences and thus widely used, ...
Year: 2023, Volume: 23, Number: 4
... , Intrusion Detection system. Malicious actors exploit machine learning model Systems, and Intrusion Prevention Systems are all examples ... machine ensemble method is utilized to construct robust classifiers learning models €” Decision Tree (DT), Artificial Neural ... various types of attack traffic. The accuracy of the model's 2017 (CICIDS 2017) [13] dataset ...
Year: 2015, Volume: 15, Number: 1
... Physical technique of mesh merging to create a pseudo supermesh Modeling, Beijing, China, pp. 347-353, ... method starts by parameterizing both the source and the target model to a processing time a mesh simplification step is ... is visual pleasant and consistent to especially for complex 3D models. So, in order to reduce the both ...
Year: 2018, Volume: 18, Number: 2
... value does not contain any extreme points. describes the modeling process of EMD-RBF-LSSVM This means that the residual value ... wind (SVM), an improved wind speed prediction model based on power prediction facilitates the power dispatching Empirical ... s and 14.41 m/s, establish the forecasting models for the low-frequency respectively. The wind speed changes ...
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