Adaptive Neuro-Fuzzy Inference System for drought forecasting
Stochastic Environmental Research and Risk Assessment, 2008 Drought causes huge losses in agriculture and has many negative influences on natural ecosystems. In this study, the applicability of Adaptive Neuro-Fuzzy Inference System (ANFIS) for drought forecasting and quantitative value of drought indices, the Standardized Precipitation Index (SPI), is investigated.
Bacanlı, Ülker Güner +2 more
openaire +6 more sources
Neuro-fuzzy inference system and white shark optimization of coagulation-flocculation of aquaculture wastewater treatment [PDF]
Global Journal of Environmental Science and ManagementBACKGROUND AND OBJECTIVES: Polymeric flocculants derived from the coagulation-flocculation procedure, such as chitosan, effectively remove algal-bacterial biomass from wastewater treatment, demonstrating efficiencies comparable to ferric salts at reduced
A.F. Mohamed, H. Rezk
doaj +1 more source
Comparison of artificial intelligence methods for predicting compressive strength of concrete
Građevinar, 2021 Compressive strength of concrete is an important parameter in concrete design. Accurate prediction of compressive strength of concrete can lower costs and save time.
Mehmet Timur Cihan
doaj +1 more source
Adaptive neuro-fuzzy controller of switched reluctance motor [PDF]
Serbian Journal of Electrical Engineering, 2007 This paper presents an application of adaptive neuro-fuzzy (ANFIS) control for switched reluctance motor (SRM) speed. The ANFIS has the advantages of expert knowledge of the fuzzy inference system and the learning capability of neural networks.
Tahour Ahmed +2 more
doaj +1 more source
Illuminant Estimation Using Adaptive Neuro-Fuzzy Inference System
Applied Sciences, 2021 Computational color constancy (CCC) is a fundamental prerequisite for many computer vision tasks. The key of CCC is to estimate illuminant color so that the image of a scene under varying illumination can be normalized to an image under the canonical ...
Yunhui Luo +3 more
doaj +1 more source
ANFIS optimized semi-active fuzzy logic controller for magnetorheological dampers
Open Engineering, 2016 In this paper, we report on the development of a neuro-fuzzy controller for magnetorheological dampers using an Adaptive Neuro-Fuzzy Inference System or ANFIS.
César Manuel Braz, Barros Rui Carneiro
doaj +1 more source
Assessment of the efficiency of educational project management using neuro-fuzzy system [PDF]
E3S Web of Conferences, 2019 The project represents the introduction of elements and methods of artificial intelligence in the work programs of disciplines in the direction of “Management”.
Krichevsky Mikhail +2 more
doaj +1 more source
Evolving single- and multi-model fuzzy classifiers with FLEXFIS-class [PDF]
, 2007 [2] R. Santos, E. Dougherty, and J. A. Jaakko, “Creating fuzzy rules for image classification using biased data clustering,” in SPIE proceedings series (SPIE proc. ser.) International Society for Optical Engineering proceedings series.
Angelov, Plamen +5 more
core +1 more source
Improved Adaptive Neuro-Fuzzy Inference Model for Photovoltaic Power Forecast
, 2022 Photovoltaic (PV) systems are recently the most used sustainable energy source to fit with the energy demand growth. Generally, batteries, as storage systems, are installed along with PV modules. When it comes to an optimal power management of PV/battery
Habib, Mustapha, +5 more
core +1 more source
Prediction of queuing length at metering roundabout using adaptive neuro fuzzy inference system
Measurement + Control, 2019 A metering roundabout where traffic is controlled by signals where phase times are influenced by queue detector occupancy may be the solution to reduce queue lengths under unbalanced traffic flows.
Hong Ki An, Ahmed N Abdalla
doaj +1 more source