In the structure of ANFIS, there are two different parameter groups: premise and
consequence. Training ANFIS means determination of these parameters using an …

Recent times have witnessed a wide application of evolutionary optimization by researchers,
in design of digital FIR filters, based on frequency domain specifications. A significant growth …

Abstract The Bees Algorithm (BA) is a bee swarm intelligence-based metaheuristic algorithm
that is inspired by the natural behavior of honeybees when foraging for food. BA can be …

In this article, an optimal design of two-dimensional finite impulse response (2D FIR) filter
with quadrantally even symmetric impulse response using fractional derivative constraints …

The design and realization of fractional-order low-pass Butterworth filter (FOLPBF) for order
(1+ α), with 0< α< 1, optimized using a speed enhanced series combination of two meta …

In this study, a new adaptive network-based fuzzy inference system (ANFIS) training
algorithm, the artificial bee colony (ABC) algorithm, is presented. Antecedent and conclusion …

This research paper presents a new evolutionary technique named vortex search
optimization (VSO) to design digital 2D finite impulse response (FIR) filter for improved …

In this article, an optimal design of two-dimensional finite impulse response digital
differentiators (2-D FIR-DD) with quadrantally odd symmetric impulse response is presented …

The mathematical formulation of the two‐dimensional (2D)‐method for designing of the 2D‐
finite impulse response (FIR) filter is introduced in this study. It features the 2D‐FIR filter with …

The advancement in technology and the availability of specialized digital signal processing
chips have made digital filter design and implementation more feasible in a variety of fields …