نتایج جستجو برای: tsk method

تعداد نتایج: 1630657  

2008
Andrea Mesiarová-Zemánková

The application of conjunctive aggregation operators in fuzzy control systems with 2 inputs is discussed and the effect of the choice of a continuous t-norm operator in inference phase for TSK systems is computed. It is shown that the choice of a continuous t-norm modelling AND connective in antecedent part of fuzzy rules can be reduced just to strict or nilpotent t-norm. Moreover, it is shown ...

2010
Dragan Kukolj Nikola Gradojevic

One of the best examples of mathematically rigorous signal processing in finance is the Black-Scholes model for price evolution of financial options. To address the same problem, this paper proposes a Takagi-SugenoKang (TSK) fuzzy rule-based option pricing model that requires only a small number of rules to describe highly complex financial signals such as option prices. The findings for this d...

Journal: :The Journal of biological chemistry 1992
A Siebers R Kollmann G Dirkes K Altendorf

The conventional procedure for the purification of the high affinity K+ uptake ATPase (KdpABC) from Escherichia coli involves a tedious three-column protocol (final enzyme purity, approximately 90%; activity yield, 6.5% (Siebers, A., and Altendorf, K. (1988) Eur. J. Biochem. 178, 131-140)). We have now developed a highly effective one-column (Fractogel TSK AF-Red) protocol yielding an enzyme pr...

2005
Nihar Ranjan Panda Sarat Kumar Patra

This paper presents the application of nonlinear channel equalizers, based on fuzzy IF-THEN rules, for Global System for Mobile (GSM) communication applications. Two types of fuzzy filters namely Type–1 TSK (Takagi – Sugeno – Kang) fuzzy adaptive filter (FAF) and Type–2 TSK FAF are considered for performance comparison. The equalizers proposed can be trained with very short training signal of 2...

2005
Luis Javier Herrera Héctor Pomares Ignacio Rojas Alberto Guillén Jesús González

Several methodologies for function approximation using TSK systems make use of clustering techniques to place the rules in the input space. Nevertheless classical clustering algorithms are more related to unsupervised learning and thus the output of the training data is not taken into account or, simply the characteristics of the function approximation problem are not considered. In this paper ...

2007
Masato Kinoshita Haruhiko Toyohara Yutaka Shimizu Morihiko Sakaguchi

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 ...

2013
Sheng-Fuu Lin

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...

Journal: :Remote Sensing 2021

Actual evapotranspiration (ET) with high spatiotemporal resolution is very important for the research on agricultural water resource management and cycle processes, it helpful to realize precision agriculture smart agriculture, provides critical references layout planning. Due impact of clouds, weather environment, orbital period optical satellite, there are difficulties in providing daily remo...

Journal: :International Journal of Advances in Intelligent Informatics 2021

Journal: :Elektronìka ta sistemi upravlìnnâ 2022

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...

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