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Published in 2022 at "Computer Applications in Engineering Education"
DOI: 10.1002/cae.22486
Abstract: The use of modern information and communication technologies (ICTs) in the learning process has many advantages, but, as recent research has shown, their introduction into the teaching process is rather slow and complex. The rapid…
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Keywords:
teaching process;
neuro fuzzy;
process;
educational software ... See more keywords
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Published in 2017 at "International Journal of Climatology"
DOI: 10.1002/joc.4762
Abstract: Solar radiation is one of the major factors for agricultural, meteorological and ecological applications. In this study, two different optimized adaptive neuro-fuzzy inference systems (ANFIS), ANFIS with grid partition (ANFIS-GP) and ANFIS with subtractive clustering…
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Keywords:
neuro fuzzy;
solar radiation;
adaptive neuro;
model ... See more keywords
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Published in 2018 at "Sustainable Development"
DOI: 10.1002/sd.1744
Abstract: Urbanization, especially in developing countries, has led to numerous concerns, such as air pollution, traffic congestion and habitat destruction. Within this context, it is important to evaluate urban development as sustainable, and various sustainability assessment…
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Keywords:
neuro fuzzy;
urban sustainability;
adaptive neuro;
sustainability ... See more keywords
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Published in 2018 at "Neural Computing and Applications"
DOI: 10.1007/s00521-018-3789-2
Abstract: This paper concerns the application of a neuro-fuzzy learning method based on data streams for high impedance fault (HIF) detection in medium-voltage power lines. A wavelet-packet-transform-based feature extraction method combined with a variation of evolving…
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Keywords:
classification;
detection;
network;
neuro fuzzy ... See more keywords
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Published in 2020 at "Neural Computing and Applications"
DOI: 10.1007/s00521-020-05194-x
Abstract: Assessment in simulating river flows for a river system can be implemented simultaneously. In general, the majority of the researchers emphasize forecasting on single output for a river system. The present study investigates the applicability…
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Keywords:
system;
neuro fuzzy;
river;
canfis ... See more keywords
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Published in 2022 at "Neural Computing and Applications"
DOI: 10.1007/s00521-021-06870-2
Abstract: The viability of thermal waste-to-energy (WTE) plants and its optimal performance have informed intelligent predictive modelling of its significant variables critical to optimal energy recovery and plant operational planning using machine learning approach. However, the…
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Keywords:
performance;
anfis model;
waste;
model ... See more keywords
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Published in 2021 at "Multimedia Systems"
DOI: 10.1007/s00530-021-00774-w
Abstract: Coronavirus is a fatal disease that affects mammals and birds. Usually, this virus spreads in humans through aerial precipitation of any fluid secreted from the infected entity’s body part. This type of virus is fatal…
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Keywords:
system;
neuro fuzzy;
adaptive neuro;
covid ... See more keywords
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Published in 2017 at "Nonlinear Dynamics"
DOI: 10.1007/s11071-017-3524-z
Abstract: In this paper, a robust adaptive self-organizing neuro-fuzzy control (RASNFC) scheme for tracking of unmanned underwater vehicle with uncertainties and the unknown dead-zone nonlinearity is proposed. The proposed RASNFC scheme comprises an estimation-based adaptive controller…
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Keywords:
robust adaptive;
system;
neuro fuzzy;
control ... See more keywords
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Published in 2021 at "Optical and Quantum Electronics"
DOI: 10.1007/s11082-020-02675-0
Abstract: Predicting the behavior of photonic and Plasmon nanostructures has always been an attractive topic for photonic sciences researchers. One of the methods for estimating the behavior of devices in engineering sciences is adaptive neuro fuzzy…
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Keywords:
neuro fuzzy;
fuzzy inference;
inference system;
adaptive neuro ... See more keywords
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Published in 2018 at "Acta Geophysica"
DOI: 10.1007/s11600-018-0228-9
Abstract: Sediment rating curves (SRCs) have been recognized as the most popular method for estimating sediment in the hydrology of river sediments and in watersheds. In this regard, in order to compare and correct estimation methods…
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Keywords:
estimation;
regression;
neuro fuzzy;
sediment ... See more keywords
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Published in 2019 at "Evolutionary Intelligence"
DOI: 10.1007/s12065-019-00207-8
Abstract: Heuristic methods are used to design an adaptive-network-based fuzzy inference system (ANFIS) neuro-fuzzy classifier. The reason is that these classifiers include diverse structures, each of which has a considerable effect on their performance. So, the…
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Keywords:
fuzzy classifier;
method;
heuristic methods;
application ipo ... See more keywords