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Published in 2019 at "Engineering with Computers"
DOI: 10.1007/s00366-019-00725-0
Abstract: Air overpressure (AOp) produced by blasting is one of the environmental hazards of mining operations. Accordingly, the accurate prediction of AOp is very important, and this issue requires the application of appropriate prediction models. With…
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Keywords:
fuzzy system;
aop using;
using hybrid;
model ... See more keywords
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1
Published in 2019 at "Neural Processing Letters"
DOI: 10.1007/s11063-019-10071-3
Abstract: This paper introduces a novel method for fuzzy modeling based on sparse Bayesian techniques. The sparse representation problems in the Takagi–Sugeno (T–S) fuzzy system identification are studied, which is to establish a T–S fuzzy system…
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Keywords:
fuzzy;
fuzzy system;
bayesian techniques;
model ... See more keywords
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Published in 2019 at "International Journal of Control, Automation and Systems"
DOI: 10.1007/s12555-018-0245-0
Abstract: For the stabilization problem of T-S fuzzy system, a new observer-based controller design approach is proposed when premise variables are not accessible. With a fuzzy observer, the estimated states error system is described as two…
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Keywords:
system;
unknown premise;
observer based;
premise ... See more keywords
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Published in 2019 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-018-1102-y
Abstract: In recent years, several dangerous events (such as terrorism, violent crimes, explosions) happened across the globe. In some cases, some events simultaneously occurred in different places in the same city. The primary method used for alerting…
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Keywords:
distributed fuzzy;
real time;
fuzzy system;
dangerous events ... See more keywords
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1
Published in 2018 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-016-0622-z
Abstract: To effectively avoid internal rule explosion of a fuzzy system or computer memory overflow caused by increased input variables, a hybrid fuzzy system is established by unifying the Takagi–Sugeno and the Mamdani fuzzy systems based…
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Keywords:
system;
fuzzy system;
number;
hybrid fuzzy ... See more keywords
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Published in 2017 at "International Journal of Fuzzy Systems"
DOI: 10.1007/s40815-016-0208-7
Abstract: Feature selection is considered as one of the most important data pre-processing step in different modelling fields, especially for prediction and classification purposes. Feature selection belongs to the wider class of data mining procedures, as…
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Keywords:
combining filter;
feature selection;
filter features;
fuzzy system ... See more keywords
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Published in 2018 at "International Journal of Fuzzy Systems"
DOI: 10.1007/s40815-018-0485-4
Abstract: In this paper, an interval type-2 neuro-fuzzy system with uniform design-based rule generation approach is proposed, and Begian–Melek–Mendel method is used for defuzzification. To the consequent learning, two least squares methods are involved in the…
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Keywords:
fuzzy system;
type neuro;
interval type;
neuro fuzzy ... See more keywords
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Published in 2021 at "Electric Power Systems Research"
DOI: 10.1016/j.epsr.2021.107126
Abstract: Abstract Aiming to improve energy reliability in base stations (on- and off-grid), this paper focuses on the benefits of a feasible solution that applies a multiple-output singleton type-1 Mamdani fuzzy system to monitor and manage…
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Keywords:
energy reliability;
base stations;
energy;
fuzzy system ... See more keywords
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Published in 2020 at "Measurement"
DOI: 10.1016/j.measurement.2019.107070
Abstract: Abstract This paper shows the development of a fuzzy system applied to low-cost microcontroller to assist in the identification of different intensities of air flow from the AWM2100 sensor, whose operation presents variation in the…
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Keywords:
identification;
fuzzy system;
air flow;
response ... See more keywords
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Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.01.034
Abstract: The paper presents a subspace neuro-fuzzy system with ordering of data items.The system assigns fuzzy weights to attributes in each fuzzy rule.The ordering technique makes the system robust to outliers.The presented system can outperform a…
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Keywords:
subspace neuro;
system;
neuro fuzzy;
fuzzy system ... See more keywords
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Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.04.065
Abstract: Abstract This paper proposes a hybrid architecture based on neural networks, fuzzy systems, and n-uninorms for solving pattern classification problems, termed as ENFS-Uni0 (short for evolving neuro-fuzzy system based on uni-nullneurons). The model can produce…
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Keywords:
neuro fuzzy;
fuzzy system;
uni nullneurons;
system based ... See more keywords