Results 131 to 140 of about 4,961 (191)

Enhancing aircraft crack repair efficiency through novel optimization of piezoelectric actuator parameters: A design of experiments and adaptive neuro-fuzzy inference system approach. [PDF]

Heliyon
Aabid A, Hrairi M, Raheman MA, Ibrahim YE.   +3 more
europepmc   +1 more source

Comparative assessment of deep belief network and hybrid adaptive neuro-fuzzy inference system model based on a meta-heuristic optimization algorithm for precise predictions of the potential evapotranspiration. [PDF]

Environ Sci Pollut Res Int
Akiner ME, Ghasri M.
europepmc   +1 more source

Optimization of ultrasound-assisted extraction of bioactive chemicals from Hemidesmus indicus (L.) R.Br. using response surface methodology and adaptive neuro-fuzzy inference system. [PDF]

Food Sci Biotechnol
Vellur S, Pavadai P, Pandian SRK, Palanichamy C, Kabilan SJ, Sundar K, Kannan S, Kunjiappan S.   +7 more
europepmc   +1 more source

Optimization of the HEC-RAS Based Flood Inundation Mapping using Adaptive Neuro- Fuzzy Inference System: A case study of Olkeriai River Basin, Kenya

Bore E, Otieno AK, Kimwatu DM, Kiptala JK.   +3 more
europepmc   +1 more source

ECG Classification with an Adaptive Neuro-Fuzzy Inference System

, 2016
openaire   +2 more sources

Some of the next articles are maybe not open access.

Related searches:

Glaucoma detection using adaptive neuro-fuzzy inference system

Expert Systems With Applications, 2007
Abstract Purpose. To develop an automated classifier based on adaptive neuro-fuzzy inference system (ANFIS) to differentiate between normal and glaucomatous eyes from the quantitative assessment of summary data reports of the Stratus optical coherence tomography (OCT) in Taiwan Chinese population. Methods.
Mei-Ling Huang
exaly   +2 more sources

Neuro-Fuzzy Evaluation of the Software Reliability Models by Adaptive Neuro Fuzzy Inference System

Journal of Electronic Testing, 2021
Software quality has become a key aspect of any electronic system. In this respect, software reliability is an important quality characteristic and there are many models that aim to estimate the reliability from different perspectives. However, there are no industry established reliability models.
Milos Milovancevic, Aleksandar Dimov, Kamen Boyanov Spasov, Ljubomir Vracar, Miroslav Planic   +4 more
openaire   +1 more source

Generalization of adaptive neuro-fuzzy inference systems

IEEE Transactions on Neural Networks, 2000
The paper aims at several objectives. The adaptive network-based fuzzy inference systems (ANFIS) of Jang is extended to the generalized ANFIS (GANFIS) by proposing a generalized fuzzy model (GFM) and considering a generalized radial basis function (GRBF) network.
Mohammad Fazle Azeem, Madasu Hanmandlu, Nesar Ahmad   +2 more
openaire   +3 more sources

Adaptive Neuro-Fuzzy Inference System in Agriculture

2020
This 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, 2014
This 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.
Sevcan Yilmaz, Yusuf Oysal
openaire   +3 more sources