نتایج جستجو برای: tunable membership functions

تعداد نتایج: 537827  

Journal: :Expert Syst. Appl. 2009
S. K. Bhattacharya S. K. Goswami

A fuzzy based method has been proposed for identification of probable capacitor nodes of radial distribution system. Simulated annealing technique has been used for final selection of the capacitor sizes. New fuzzy membership functions have been formulated where the active power membership is an exponential function of the nodal per unit active power and branch active power loss, the reactive m...

2011
Carlos Lopez-Molina Humberto Bustince Javier Fernández Bernard De Baets

The fuzzy representation of the edges has been widely studied in different works. Generally, for each pixel, the authors use membership degrees linearly proportional to the magnitude of the gradient at that position of the image. This would be equivalent to using a triangular membership functions on the gradient magnitude. In this work we study the use of parametric functions in the transformat...

Journal: :CoRR 2017
Zhengbing Hu Yevgeniy V. Bodyanskiy Oleksii K. Tyshchenko Viktoriia O. Samitova

A task of clustering data given on the ordinal scale under conditions of overlapping clusters has been considered. It’s proposed to use an approach based on membership and likelihood functions sharing. A number of performed experiments proved effectiveness of the proposed method. The proposed method is characterized by robustness to outliers due to a way of ordering values while constructing me...

1999
Hung T. Nguyen Berlin Wu Vladik Kreinovich

Fuzzy information processing systems start with expert knowledge which is usually formulated in terms of words from natural language. This knowledge is then usually reformulated in computer-friendly terms of membership functions, and the system transform these input membership functions into the membership functions which describe the result of fuzzy data processing. It is then desirable to tra...

سجادی, سید جواد, صبوری , حسین, فلاحی , حسینعلی,

Productivity of rainfed crops may be predicted using the climatic parameters. Crop yield prediction has an important role in agricultural policies including determining the crop price. Well-known prediction methods are regression method and arterial neural networks. In this paper soybean yield is predicted using Adaptive Nero-Fuzzy Interface System (ANFIS) and 11 years of climatic data (1998-20...

2010
Uwe Mönks Denis Petker Volker Lohweg

It is likely in real-world applications that only little data is available for training a knowledge-based system. We present a method for automatically training the knowledge-representing membership functions of a Fuzzy-Pattern-Classification system that works also when only little data is available and the universal set is described insufficiently. Actually, this paper presents how the Modifie...

Journal: :Laser & Photonics Reviews 2023

Circular polarizers that selectively transmit only one handedness of circular polarization are useful for imaging and wireless communications. Conventional involve 3D chiral structures, which impose fabrication challenges, while typically introducing chirality within a limited bandwidth. To overcome the limitations associated with conventional non-planar designs, three-layer metasurface-based p...

Journal: :international journal of electrical and electronics engineering 0
a. naderii h. ghasemzadehii a. pourazar m. aliasgharyii

in this paper, a new structure possessing the advantages of low-power consumption, less hardware and high-speed is proposed for fuzzy controller. the maximum output delay for general fuzzy logic controllers (flc) is about 86 ns corresponding to 11.63 mflips (fuzzy logic inference per second) while this amount of the delay in the designed fuzzy controller becomes 52ns that corresponds to 19.23 m...

2000
R. I. McKay

This paper investigates the use of partial functions and fitness sharing in genetic programming. Fitness sharing is applied to populations of either partial or total functions and the results compared. Applications to two classes of problem are investigated: learning multiplexer definitions, and learning (recursive) list membership functions. In both cases, fitness sharing approaches outperform...

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