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A Novel Approach for Predicting Heavy Metal Contamination Based on Adaptive Neuro-Fuzzy Inference System and GIS in an Arid Ecosystem
Mohamed E.S., Jalhoum M.E.M., Belal A.A., Hendawy E., Azab Y.F.A., Kucher D.E., Shokr M.S., El Behairy R.A., El Arwash H.M.
utilizing an innovative method based on the adaptive neuro-fuzzy inference system (ANFIS), an effective
Model predictive control for Takagi–Sugeno fuzzy model-based Spacecraft combined energy and attitude control system
Aslam S., Chak Y.-C., Hussain Jaffery M., Varatharajoo R., Ahmad Ansari E.
to improve the attitude accuracy. In this maiden work, the Fuzzy–MPC controller is introduced to regulate
Fuzzy logic inference ruleset augmentation with sample data in medical decision-making systems
Kurochkin, A., Sadov, V.
Fuzzy inference systems are widely used in order to implement complex rule-based decision
Fuzzy logic usage for the data processing in the Internet of Things networks
Globa, L. S., Kurdecha, V., Ishchenko, I., Zakharchuk, A., Kunieva, N.
that use of fuzzy logic and fuzzy knowledge base for big data processing. The mathematical methods
The Principle of Organization of Motivational Behavior and Automatic Goal Setting of Autonomous Intelligent Mobile Systems; [Принцип организации мотивационного поведения и автоматического целеполагания автономных интеллектуальных мобильных систем*]
Melekhin V.B., Khachumov M.V.
focused on solving various complex problems in unstable a priori undescribed problematic environments
Integration of Fuzzy Systems with Parametric Interpretation for Unified Knowledge Representation
Ivashenko, V.
The paper considers the problem of stable interpretation of fuzzy logic models. An approach based
FuzzyGuard: A Novel Multimodal Neuro-Fuzzy Framework for COPD Early Diagnosis
Kumar S., Shvetsov A., Alsamhi S.H.
new multimodal neuro-fuzzy framework called “FuzzyGuard.” FuzzyGuard uses ensemble learning on various
Metod of integral assessment of soil quality in rural-urban areas based on the fuzzy logic
Ivashchuk, O. A., Fedorov, V. I., Koskin, A. V., Shcherbinina, N. V., Zhuravlev, M. D.
on the fuzzy logic, both from the standpoint of the possibility of living in a given territory, and from
Использование fuzzy-регуляторов при управлении беспилотных автомобилей
Козловский, Владислав Юрьевич, Сарока, Виктор Викторович
вождение. Эта система будет смоделирована в MATLAB с использованием программной среды Fuzzy Logic Toolbox.
Evaluation of Low-Carbon Economic Development Level Based on Fuzzy Synthesis Algorithm
Liu Z.
-carbon economic development level, a scheme for evaluating economic development level based on fuzzy synthesis

Страница 6 из 2317

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