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...

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 ...

Proliferation of temporal data in many domains has generated considerable interest the analysis and use time series. In that context, clustering is one most popular mining methods. Whilst series algorithms generally succeed capturing differences shapes, they often fail to perform based on both shape amplitude dissimilarities. this paper, we propose a new method automatically determines an optim...

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) ...

Childhood autism is one of the most common developmental disorders in children, whose disabilities generally tend to follow through adulthood. The therapy given to an autistic child depends on its accurate assessment, which is a challenging clinical decision making problem. This paper describes the application of functional fuzzy model in autism assessment support systems. The fuzzy model uses ...

This paper addresses a Compensatory Wavelet Neuro-Fuzzy System (CWNFS) for temperature control. The proposed CWNFS model is five-layer structure, which combines the traditional Takagi-Sugeno-Kang (TSK) fuzzy model and the wavelet neural networks (WNN). We adopt the non-orthogonal and compactly supported functions as wavelet neural network bases. Besides, the compensatory fuzzy reasoning method ...

This paper proposes a TSK-type fuzzy controller (TFC) with a two-strategy reinforcement group cooperation based symbiotic evolution (TSR-GCSE) for solving various control problems. The TSR-GCSE proposes the two-strategy reinforcement (TSR) signal designed to improve the performance of the traditional reinforcement signal designed. Moreover, the TSR-GCSE is different from the traditional symbiot...

Data mining techniques can be used to discover useful patterns by exploring and analyzing data and it’s feasible to synergistically combine machine learning tools to discover fuzzy classification rules. In this paper, an adaptive neuro fuzzy network with TSK fuzzy type and an improved quantum subtractive clustering has been developed. Quantum clustering (QC) is an intuition from quantum mechani...