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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 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 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 2019 at "Water Resources Management"
DOI: 10.1007/s11269-019-02356-y
Abstract: This study presents a novel method for more accurate forecasting freshwater Lake Levels with complex fluctuation patterns due to multiple anthropogenic demands and climate factors. The new method employs the mighty King’s Castle Optimization (KCO)…
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Keywords:
castle optimization;
adaptive neuro;
training sample;
king castle ... See more keywords
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Published in 2020 at "Arabian Journal of Geosciences"
DOI: 10.1007/s12517-020-05363-1
Abstract: Flood is one of the important destructive natural disasters in the world. Therefore, preparing flood susceptibility map is necessary for flood management and mitigation in a region. This research was planned to compare the performance…
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Keywords:
neuro fuzzy;
flood susceptibility;
adaptive neuro;
performance ... See more keywords
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Published in 2021 at "International Journal of Energy and Environmental Engineering"
DOI: 10.1007/s40095-021-00381-5
Abstract: A creative algorithm, response surface methodology (RSM) and hybrid algorithm, adaptive neuro-fuzzy inference system (ANFIS) have been implemented to optimize biogas production from 2 different biodegradable animal waste (substrates of poultry wastes (PW) and cow…
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Keywords:
system;
adaptive neuro;
methodology;
response surface ... See more keywords
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Published in 2017 at "Journal of Control, Automation and Electrical Systems"
DOI: 10.1007/s40313-016-0285-8
Abstract: In this paper, an online identification algorithm for instrumental variable-based evolving neuro-fuzzy modeling applied to dynamic systems in noisy environment is proposed. The adopted methodology is based on neuro-fuzzy inference system with Takagi–Sugeno evolving structure,…
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Keywords:
neuro fuzzy;
instrumental variable;
adaptive neuro;
black box ... See more keywords
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Published in 2021 at "International Journal of Dynamics and Control"
DOI: 10.1007/s40435-021-00808-1
Abstract: In this paper, an adaptive nonlinear method is proposed for both Maximum Power Point Traking Control and output voltage regulation of a Single-Ended Primary Inductance Converter (SEPIC). The main objective of this adaptive synergetic controller…
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Keywords:
synergetic control;
converter;
control;
neuro synergetic ... See more keywords
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Published in 2017 at "Chinese Journal of Aeronautics"
DOI: 10.1016/j.cja.2017.11.017
Abstract: Abstract Gas Turbine Engines (GTEs) are vastly used for generation of mechanical power in a wide range of applications from airplane propulsion systems to stationary power plants. The gas-path components of a GTE are exposed…
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Keywords:
degradation;
neuro fuzzy;
adaptive neuro;
gas ... See more keywords
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Published in 2017 at "Chinese Journal of Chemical Engineering"
DOI: 10.1016/j.cjche.2016.07.021
Abstract: Abstract This paper introduces the mathematical model of ammonia and urea reactors and suggested three methods for designing a special purpose controller. The first proposed method is Adaptive model predictive controller, the second is Adaptive…
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Keywords:
fuzzy sliding;
sliding mode;
neuro fuzzy;
adaptive neuro ... See more keywords