Results 181 to 190 of about 31,148 (230)
Some of the next articles are maybe not open access.
Adaptive Neuro-Fuzzy Inference System in Agriculture
2020This chapter emphasizes the use of adaptive fuzzy inference system (ANFIS) in agriculture. An overview of the basic concepts of ANFIS is provided at the beginning, where the underlying architecture of ANFIS is also discussed. The introduction is followed by the second section which highlights the diverse applications of ANFIS in agriculture during ...
K. Aditya Shastry, null Sanjay H. A.
openaire +1 more source
Nonlinear system modeling with dynamic adaptive neuro-fuzzy inference system
2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings, 2014This paper introduces the architecture and learning procedure of dynamic adaptive neuro-fuzzy inference system (DANFIS) for nonlinear dynamical system modeling. In our DANIS model, IF part of the rules are comprised of Gaussian type membership functions and THEN part of the rules are differential equations of linear functions.
Yılmaz, Sevcan, Oysal, Yusuf
openaire +3 more sources
International Journal of Fuzzy System Applications, 2015
One of most prominent features that social networks or e-commerce sites now provide is recommendation of items. However, the recommendation task is challenging as high degree of accuracy is required. This paper analyzes the improvement in recommendation of movies using Fuzzy Inference System (FIS) and Adaptive Neuro Fuzzy Inference System (ANFIS).
Mahfuzur Rahman Siddiquee +2 more
openaire +1 more source
One of most prominent features that social networks or e-commerce sites now provide is recommendation of items. However, the recommendation task is challenging as high degree of accuracy is required. This paper analyzes the improvement in recommendation of movies using Fuzzy Inference System (FIS) and Adaptive Neuro Fuzzy Inference System (ANFIS).
Mahfuzur Rahman Siddiquee +2 more
openaire +1 more source
Improved adaptive neuro-fuzzy inference system
Neural Computing and Applications, 2011This paper introduces a new type of Adaptive Neuro-fuzzy System, denoted as IANFIS (Improved Adaptive Neuro-fuszzy Inference System). The new structure is realized by the insertion of the error of training of ANFIS in the third layer of this system. The recurrence of the error of training will increase the capability of convergence and the robustness ...
openaire +1 more source
Hysteresis Modeling with Adaptive Neuro-Fuzzy Inference System
Ferroelectrics, 2008The accurate characterization and modeling of magnetic material are critical in simulating the performance analysis of electrical circuits incorporating magnetic components. In this study, a new approach for modeling hysteresis loop of ferromagnetic material based on adaptive neuro-fuzzy inference system (ANFIS) was presented.
M. Mordjaoui +3 more
openaire +1 more source
Geoacoustic inversion using adaptive neuro-fuzzy inference system
Computational Geosciences, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yegireddi, Satyanarayana, Kumar, Arvind
openaire +2 more sources
Reference evapotranspiration estimation using adaptive neuro‐fuzzy inference systems
Irrigation and Drainage, 2008AbstractEvapotranspiration, an important component in terrestrial water balance and net primary productivity models, is difficult to measure and estimate. In this study, the potential of the adaptive neuro‐fuzzy inference system (ANFIS) is investigated in modelling of daily grass crop reference evapotranspiration (ETo) obtained using the Penman ...
openaire +1 more source
RISK ASSESSMENT USING ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM
ИНФОРМАЦИЯ И БЕЗОПАСНОСТЬ, 2022В работе предлагается использование адаптивной нейро-нечеткой системы вывода для оценки риска. Проводится подробный обзор адаптивной нейро-нечеткой системы вывода, выделяя основные свойства этой системы в области методов оценки рисков. Приведены основные преимущества использования адаптивной нейро-нечеткой системы вывода.
openaire +1 more source
Fall Detection Using Adaptive Neuro-Fuzzy Inference System
International Journal of Multimedia and Ubiquitous Engineering, 2016A factor seriously endangers the people health is falling, particularly for patients and the elderly. Fall detection systems contribute in preventing the consequences of the late medical aid and injuries endangering the people health. The main problem within fall detection systems is how to correctly distinguish between a fall and the other daily ...
Fardin Abdali-Mohammadi +2 more
openaire +1 more source
Vehicle Classification Using Adaptive Neuro-Fuzzy Inference System (ANFIS)
2014Accurate vehicle classification and traffic composition data are an important traffic performance measures which are used in many transportation applications. In this paper, an attempt is made to develop a model to classify the vehicles into five categories: light commercial vehicle, car/jeep/van, two-axle truck/bus, three-axle truck, and multi-axle ...
Akhilesh Kumar Maurya +1 more
openaire +1 more source