The objective of this study is to investigate a potential application of the Adaptive Neuro-
Fuzzy Inference System (ANFIS) and the Geographic Information System (GIS) as a …

This paper is devoted to the presentation of a new linear and nonlinear filter modeling based
on a gravitational search algorithm (GSA). To do this, unknown filter parameters are …

Considering the large number of natural disasters on the planet, many areas in the world are
at risk of these hazards; therefore, providing an integrated map as a guide map for multiple …

Modeling pan evaporation (Epan) estimation is a vital issue in water resources management
because it directly affects water reservoir and water supply systems. In the developing …

Day of the year-based (DYB) models can achieve great accuracy in daily global solar
radiation estimation without specific meteorological elements. Many empirical models (EMs) …

The prediction of surface roughness is a challengeable problem. In order to improve the
prediction accuracy in end milling process, an improved approach is proposed to model …

Cultural tourism is a continuously rapidly developing product which the global travel sector
has experienced. Cultural products are a vital part of the economy and post-modern society …

This article presents a comparison of two adaptive neuro-fuzzy inference systems (ANFIS)-
based neuro-fuzzy models applied for modeling dissolved oxygen (DO) concentration. The …

In this paper, we describe a new form of neuro-fuzzy-genetic controller design for nonlinear
system derived from a manipulator robot. The proposed method combines fuzzy logic and …

In this paper, the methods based on Lyapunov stability theorem to study the stability and
switching law design for the T–S fuzzy switched systems with state-driven switching method …