It is considered t the Takagi-Sugeno-Kang fuzzy neural network and its modern variations. The use of regularization, random exclusion rules from rule base allows solving problem excessive similarity in base. batch normalization to increase generalizing properties accuracy model, while maintaining possibility interpreting results, which characteristic networks. proposed an ensemble networks capa...

Günümüz ülke silahlı kuvvetlerinin başarısını etkileyen önemli unsurlardan bir tanesi de ihtiyaç duyulan makine, teçhizat ve silah sistemlerinin doğru yer zamanda, uygun miktar finansal koşullarla tedarik edilmesini sağlayan lojistik faaliyetlerdir. Eğer faaliyetler etkin sürekli şekilde planlanıp icra edilemez ise ön cephede ne kadar başarılı olunursa olunsun, başarıyı kılmak mümkün olmayacakt...

In this study, we present a hybrid approach of Ant Colony Optimization algorithm (ACO) with fuzzy logic and clustering methods to solve multiobjective path planning problems in the case swarm Unmanned Surface Vehicles (USVs). This study aims further explore performance ACO by integrating order cope multiple contradicting objectives generate quality solutions in-parallel identifying mission area...

Objective The aim of this study was to carry out a psychometric analysis the Fear-Avoidance Components Scale (FACS-Sp) in Spanish breast cancer survivors (BCS). Methods A validation carried 154 BCS. Participants were recruited from service Medical Oncology University Clinical Hospital Virgen de la Victoria, Málaga (Spain). internal consistency, structure and convergent validity FACS-Sp performe...

The present study investigated the effects of a series 10 whole-body cryostimulation (WBC) sessions (3 min; −110 °C) on physiological and thermal responses to submaximal exercise test in 17 elite athletes. Participants performed an twice at similar levels intensity before after ten WBC sessions. Before during test, each participant’s oxygen uptake (VO2), heart rate (HR), internal temperature (T...

The primitive Extreme Learning Machine (ELM) [1, 2, 3] with additive neurons and RBF kernels was implemented in batch mode. In this paper, its sequential modification based on recursive least-squares (RLS) algorithm, which referred as Online Sequential Extreme Learning Machine (OS-ELM), is introduced. Based on OS-ELM, Online Sequential Fuzzy Extreme Learning Machine (Fuzzy-ELM) is also introduc...

Owing to the evolution of the smart grid, the emergence of hybrid power systems (HPSs), and the proliferation of plug-in-hybrid electric vehicles, the development of efficient and robust maximum power point tracking (MPPT) algorithms for renewable energy sources due to their inherent intermittent nature has overwhelmed the power industry. In this paper, an incremental conductance (IC) based Her...

A novel procedure was developed for rapid separation of the three component enzymes of pig heart 2-oxoglutarate dehydrogenase complex by high performance liquid chromatography on a gel filtration column. The complex was dissociated and separated into two fractions of the first dihydrolipoamide succinyltransferase and a second yellow fraction within 1 h by chromatography on a preparative TSK-GEL...