Precise estimation of pan evaporation is necessary to manage available water resources. In this study, the capability three hybridized models for modeling monthly (Epan) at stations in Dongting lake basin, China, were investigated. Each model consisted an adaptive neuro-fuzzy inference system (ANFIS) integrated with a metaheuristic optimization algorithm; i.e., particle swarm (PSO), whale algor...

In fuzzy logic controllers (FLCs), optimal performance can be defined as performance that minimizes the deviation (error term) between the decisions of the fuzzy logic systems and the decisions of experts. A range of approaches – such as genetic algorithms (GA), particle swarm optimization (PSO), artificial neural networks (ANN), and adaptive network based fuzzy inference systems (ANFIS) – can ...

This study proposes a novel technique of cooperative control for distributed hybrid DC/AC Microgrid (MG) by designing digital Infinite Impulse Response (IIR) filter-based Proportional-Resonant (PR) current controller. controller adopts an Adaptive Neuro Fuzzy Inference System (ANFIS) trained Particle Swarm Optimization (PSO) to inverter output while tracking Maximum Power Point (MPP). A ANFIS-P...

The aim of this paper is to detect bank credit cards related frauds. The large amount of data and their similarity lead to a time consuming and low accurate separation of healthy and unhealthy samples behavior, by using traditional classifications. Therefore in this study, the Adaptive Neuro-Fuzzy Inference System (ANFIS) is used in order to reach a more efficient and accurate algorithm. By com...

Despite studies on the potential replacement of synthetic resins by bio-based adhesives such as proteins in recent years, there is still no reliable method for estimating strength wood products made using combined parameters literature. This limitation due to nonlinear relationship between and components. In present research, application artificial intelligence techniques was studied predict bo...

Abstract Lakes help increase the sustainability of natural environment and decrease food chain risk, agriculture, ecosystem services, leisure recreational activities locally globally. Reliable simulation monthly lake water levels is still an ongoing demand for multiple environmental hydro-informatics engineering applications. The current research aims to utilize newly developed hybrid data-inte...

Concrete is the second most consumed material after water and the most widely used construction material in the world. The compressive strength of concrete is one of its most important mechanical properties, which highly depends on its mix design. The present study uses the intelligent methods with instance-based learning ability to predict the compressive strength of concrete. To achieve this ...