This paper presents a new method to control of robot manipulator in task space. In the proposed control method, a combination of feedback linearization, sliding mode control and first-order TSK fuzzy system has been utilized. In this method, the bounds of structural and non-structural uncertainties by using feedback linearization method are reduced and to overcome the remaining uncertainties, s...

An attempt was made to substantiate a modori (thermal gel degradation) inducing effect of a latent serine proteinase. The proteinase was purified homogeneously from the sarcoplasmic fraction of threadfin bream muscle using a combination of DEAF-cellulose, Con A-Sepharose, ArgSepharose, Shim-pack HAC, and TSK-gel G3000SWXL column chromatographies. Its molecular weight was estimated as 77,000 by ...

This paper proposes a novel adaptive group organization cooperative evolutionary algorithm (AGOCEA) for TSK-type neural fuzzy networks design. The proposed AGOCEA uses group-based cooperative evolutionary algorithm and selforganizing technique to automatically design neural fuzzy networks. The group-based evolutionary divided populations to several groups and each group can evolve itself. In th...

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...