Results 21 to 30 of about 30,817 (217)
Reactive Power Control of Thyristor Controlled Reactor using Neuro - Fuzzy Controller
Gazi Üniversitesi Fen Bilimleri Dergisi, 2019 In this study, the reactive power of thyristor controlled reactor (TCR) that is fundamental element of flexible ac transmission system devices is controlled using neuro-fuzzy controller.
Ö. Fatih KEÇECİOĞLU, Erdal KILIÇ
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Assessment of the efficiency of educational project management using neuro-fuzzy system [PDF]
E3S Web of Conferences, 2019 The project represents the introduction of elements and methods of artificial intelligence in the work programs of disciplines in the direction of “Management”.
Krichevsky Mikhail +2 more
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Natural Hazards, 2018 In this paper, we evaluate the predictive performance of an adaptive neuro-fuzzy inference system (ANFIS) using six different membership functions (MF).
O. Ghorbanzadeh +4 more
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Trajectory Tracking Control of a Manipulator Based on an Adaptive Neuro-Fuzzy Inference System
Applied Sciences, 2023 Taking an intelligent trimming device hydraulic manipulator as the research object, aiming at the uncertainty, nonlinearity and complexity of its system, a trajectory tracking control scheme is studied in this paper.
Jiangyi Han, Fan Wang, Chenxi Sun
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Novel Intelligence ANFIS Technique for Two-Area Hybrid Power System’s Load Frequency Regulation [PDF]
E3S Web of ConferencesThe main objective of Load Frequency Control (LFC) is to effectively manage the power output of an electric generator at a designated site, in order to maintain system frequency and tie-line loading within desired limits, in reaction to fluctuations. The
Nireekshana Namburi +2 more
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Machine learning models for prediction of rainfall over Nigeria
Scientific African, 2022 Investigating climatology and predicting rainfall amounts are crucial for planning and mitigating the risks caused by variable rainfall. This study utilized two multivariate polynomial regressions (MPR) and twelve machine learning algorithms, namely ...
Olusola Samuel Ojo +1 more
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Geomatics, Natural Hazards & Risk, 2019 Strong ground motions usually trigger lots of slope failures in the affected area. In this work, we analyse the occurrence likelihood of earthquake-triggered landslide by employing the ensembles of adaptive neuro-fuzzy inference systems (ANFIS) with four
H. Moayedi +6 more
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Comparison of artificial intelligence methods for predicting compressive strength of concrete
Građevinar, 2021 Compressive strength of concrete is an important parameter in concrete design. Accurate prediction of compressive strength of concrete can lower costs and save time.
Mehmet Timur Cihan
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SOLAR RADIATION FORECASTING USING ADAPTIVE NEURO FUZZY INFERENCE SYSTEM (ANFIS)
Engineering and Technology Journal, 2023 Hybrid intelligent systems have previously been centered on forecasting solar energy using meteorological data parameters; nevertheless, such forecasting approaches have yielded unreliable results. The goal of this research is to design and develop ANFIS model for forecasting solar energy based on widely shifting environmental factors utilizing ...
Asia'u T. Belgore +3 more
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Identifikasi Gangguan Neurologis Menggunakan Metode Adaptive Neuro Fuzzy Inference System (ANFIS)
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2015 Abstrak Penggunaan metode Adaptive Neuro Fuzzy Inference System (ANFIS) dalam proses identifikasi salah satu gangguan neurologis pada bagian kepala yang dikenal dalam istilah kedokteran stroke ischemic dari hasil ct scan kepala dengan tujuan untuk ...
Jani Kusanti, Sri Hartati
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