A new kind of nonlinear adaptive filter, the adaptive neural fuzzy filter (ANFF), based upon a neural network's learning ability and fuzzy if-then rule structure, is proposed in this paper. The ANFF is inherently a feedforward multilayered connectionist network which can learn by itself according to numerical training data or expert knowledge represented by fuzzy if-then rules. The adaptation h...

With the aim of object tracking in video sequences, we suggest to estimate both the parameters (dynamics, shape) and the state (position), by a sequential Monte-Carlo method, the particle filter. We then model spatial information characterized by a small number of classes by fuzzy sets, which can be fixed or learned. For instance, an information of direction is modeled by four fuzzy sets repres...

ـــــ In [25], we introduce the notion of r-fuzzy neighborhood filters in smooth topological spaces in sense of Gähler [10], and used it to define and study separation axioms , = , , . Here we continue our study of the axioms of separation in smooth topological spaces. Therefore, we introduce the notion of r-fuzzy neighborhood filter at a set. Then by using this notion we define and study separ...

In this paper we analyze two methods of artificial intelligence: the Bayesian filter and the Fuzzy Logic engine. In order to do this we present each method and compare them. The mentioned methods have similar backgrounds but from epistemological point of view they are different. The paper ends with three case studies: the first about a Fuzzy Logic engine which is integrated into a Bayesian filt...

This paper presents a useful dual stage filter i.e. fuzzy window detection and median filter (FWDM) for the detection and removal of salt-and-pepper noise. Initially, the stage of detection utilizes the corrupted image histogram for the detection of “noisy” pixels, then in the next stage i.e. filtering stage, all the “noisy “pixels will be subjected for further processing while all the “noise-f...

The fuzzy H∞ filter design problem for T-S fuzzy systems with interval time-varying delay is investigated. The delay is considered as the time-varying delay being either differentiable uniformly bounded with delay derivative in bounded interval or fast varying with no restrictions on the delay derivative . A novel Lyapunov-Krasovskii functional is employed and a tighter upper bound of its deriv...

This paper describes the application of a new fuzzy based control strategy to a three-phase shunt active power filter for harmonics minimization and reactive power compensation required by a variable non-linear load. To improve dynamic behaviour of shunt active power filter and make it robust under wide range of load variations, the value of load current is considered as an input of fuzzy contr...