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...

In this paper, a TSK-type compensatory neural fuzzy network (TCNFN) for classification applications is proposed. The TCNFN model is a five-layer structure, which combines the traditional Takagi-Sugeno-Kang (TSK). Layer 3 of the TCNFN model contains adaptive compensatory fuzzy operations, which make fuzzy logic systems more adaptive and effective. Furthermore, a self-adaptive learning algorithm,...

OBJECTIVE To establish whether SkBF can be modified by exposure to the radiofrequency waves emitted by a mobile phone when the latter is held against the jaw and ear. METHODS Variations in SkBF and Tsk in adult volunteers were simultaneously recorded with a thermostatic laser Doppler system during a 20-minute "radiofrequency" exposure session and a 20-minute "sham" session. The skin microvess...

In this paper, a Takagi–Sugeno–Kang (TSK) type Fuzzy Rule Based System is developed for stock price prediction. The TSK fuzzy model applies the technical index as the input variables and the consequent part is a linear combination of the input variables. The fuzzy rule based model is tested on the Taiwan Electronic Shares from the Taiwan Stock Exchange (TSE). Through the intensive experimental ...

A cold sensitivity test (CST) is one of the assessments used to classify the level of non-freezing cold injury (NFCI) in patients presented to a cold injury clinic. The CST involves sitting in a chamber at 30°C for at least 30 min then immersing the injured site (usually a foot) in water at 15°C for 2 min. The NFCI classification is based on the skin temperature before and 5 min after immersion...

To achieve the maximum power from wind in variable-speed regions of turbines (WTs), a suitable control signal should be applied to pitch angle blades. However, available uncertainty modeling WTs complicates calculations these signals. cope with this problem, an optimal controller is suitable, such as particle swarm optimization (PSO). improve performance controller, fractional order PSO (FPSO) ...

Introduction 1 Types of Exocrine Sweat Glands 2 Structure of the Eccrine Sweat Gland 2 Secretory Coil 2 Reabsorptive Sweat Duct 2 Sympathetic Nervous System Control of Sweating 3 Substances Used To Determine Sweat Gland Function In Vitro 3 Formation of Primary Sweat 4 Calcium Mobilisation Mediators 4 Effect of Increased Intracellular Calcium on Sweat Secretion 5 Other Biochemical Requirements f...

Mirror therapy is a method that increases the functionality of affected extremity and effective in treatment chronic pain. In this study, we aimed to investigate effect mirror on shoulder impingement syndrome. The study included 62 participants, including 31 intervention group (IG) control (CG) who met inclusion criteria. IG received with conventional physiotherapy while CG only physiotherapy. ...