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Full size image In this model, u(k),y(k−1),y(k−2) are selected as input data and y(k) as output data for modeling. The number of fuzzy rules is set as 4. After the first phase of modeling is completed, the test data-driven model is used to test the predictive performance...
In the field of WT system, algorithms are used to obtain the maximum energy extraction. These algorithms are known as the maximum power point tracking (MPPT) algorithms11. The latter is only used for variable-speed WT systems (VSWTSs) using a energy electronics transformer in full or partial ...
Our model was therefore designed to take into account the intraindivid- ual correlations possibly involved in the participants' smoking behavior (the subject effect was taken to be a random effect in both parts of the ZIP model). The full model included all the preselected variables identified ...
Full size image In this model,u(k),y(k−1),y(k−2) are selected as input data andy(k) as output data for modeling. The number of fuzzy rules is set as 4. After the first phase of modeling is completed, the test data-driven model is used to test the predictive performance. ...
Full size image Assessment of prediction accuracy The performance of the proposed method is evaluated based on n-fold cross validation performed on PSAP2312, CB502 and Manesh215 datasets. The protein chains are randomly divided into n subsets to create cross validation folds. Here, we perform 3...
With the full recovery of China's production in the second half of the year, the marine trade and container shipping freight market has picked up steadily. The Shanghai Containerized Freight Index (SCFI) has rebounded since hitting the bottom in late April, surging by 178% in the second ...
It is composed of a buck-boost converter, a boost converter, and a full bridge single phase inverter feeding a load of 50 W at the output. The buck-boost converter together with a light sensor are used to emulate voltage versus current curves of a photovoltaic module. On the other hand,...
In Section 3, the experimental results and their discussion are shown. Finally, Section 4 concludes the article. 2. Materials and Methods Swarm algorithms are a family of global optimization techniques inspired by the collective behavior of individuals (particles) that form a set of candidates to ...