«dynamic membership function»
۱۱۴۷ نتیجهObtaining Membership Functions from a Neuron Fuzzy System Extended by Kohonen Network
This article presents the Neo-Fuzzy-Neuron Modified by Kohonen Network (NFN-MK), an hybrid computational model that combines fuzzy system techniques and artificial neural networks. Its main task consists in the automatic generation of membership functions, in particular, triangle
Effect of different membership functions on fuzzy power system stabilizer for synchronous machine connected to infinite bus
The effectiveness of power system stabilizer (PSS) in providing damping and improving the dynamic response is well established. In this paper focuses, the performance of single machine infinite bus is studied with fuzzy power system stabilizer (FPSS). The generator is represented
TSK fuzzy system, wavelet neural network and genetic algorithm used as an optimization process to obtain optimal values of parameters of translation, dilation and weights for the WNN and parameters of the Gaussian membership functions of the fuzzy inference
This paper presents a genetic algorithm based approach for designing fuzzy wavelet neural network (FWNN) and its application for control of dynamic plants. The structure of the proposed Fuzzy WNN consists of combination of two network structure. Upper side contains wavelet neural
Histogram-Based Generation Method of Membership Function for Extracting Features of Brain Tissues on MRI Images
we propose a generation method of membership function for extracting features of brain tissues on images of Magnetic Resonance Imaging (MRI). This method is derived from histogram analysis to create a membership function. According to a priori knowledge given by the neuro-radiolo
Fuzzy membership function based neural networks with applications to the visual servoing of robot manipulators
It is shown that there exists a nonlinear mapping which transforms image features and their changes to the desired camera motion without measuring of the relative distance between the camera and the object. This nonlinear mapping can eliminate several difficulties occurring in co
Interval Uncertainty Quantification in Numerical Models using Dynamic Fuzzy Finite Element Analysis
Uncertainty and variability are always to some extent present in numerical simulations. Especially in the model definition phase, lack of information, scatter in material properties or environmental conditions imply that a designer should incorporate the possible effects of this
Real-time implementation of a dynamic fuzzy neural networks controller for a SCARA
This paper presents the design, development and implementation of a Dynamic Fuzzy Neural Networks (D-FNNs) Controller suitable for real-time industrial applications. The unique feature of the D-FNNs controller is that it has dynamic self-organising structure, fast learning speed,
A dynamic input membership scheme for a fuzzy logic DC motor controller
AbsrractConventional fuzzy logic controller uses input membership functions that consist of identical triangular input membership functions (MF) for all the subsets that are not located at the two ends of the universal set (center width constant or CWC). Some researchers in the f
A hierarchical approach to designing approximate reasoning-based controllers for dynamic physical systems
This paper presents a new technique for the design of approximate reasoning-based controllers for dy namic physical systems with interacting goals. In this approach, goals are achieved based on a hier archy defined by a control knowledge base and re main highly interactive dur
System Identification Based on Dynamical Training for Recurrent Interval Type-2 Fuzzy Neural Network
This paper proposes a novel fuzzy modeling approach for identification of dynamic systems. A fuzzy model, recurrent interval type-2 fuzzy neural network (RIT2FNN), is constructed by using a recurrent neural network which recurrent weights, mean and standard deviation of the membe