Neuro-fuzzy systems have attracted the growing interest of researchers in various scientific
and engineering areas due to its effective learning and reasoning capabilities. The neuro …

Artificial neural network (ANN) and adaptive neuro–fuzzy interference system (ANFIS) were
applied to model and analyze the adsorption of four different agro–wastes, namely …

In this paper, a novel adaptive stable backstep** controller (BSC) based on support vector
regression (SVR) has been introduced for nonlinear dynamical systems. Stable BSC is …

In the present study, activated carbon (AC) simply derived from Pistacia khinjuk and
characterized using different techniques such as SEM and BET analysis. This new …

Using benchmark problems to demonstrate and compare novel methods to the work of
others could be more widely adopted by the Soft Computing community. This article contains …

In this paper we propose a new self-learning complex neuro-fuzzy system (CNFS) using
complex fuzzy sets (CFSs). We design a class of Gaussian complex fuzzy sets for the …

One of the main problems for effective control of a minimally invasive surgery (MIS) is the
imprecision that caused by hand tremor. In this paper, a novel adaptive filter, the least …

The existence of loose particles left inside the sealed electronic devices is one of the main
factors affecting the reliability of the whole system. It is important to identify the particle …

The inclusion of embedded sensors into a networked system provides useful information for
many applications. A Distributed Control System (DCS) is one of the clearest examples …

This paper presents a simulation based comparison of Multilayer Perceptron (MLP),
Adaptive Neuro-Fuzzy Inference Systems (ANFIS) and Least Squares Support Vector …