Results 31 to 40 of about 6,025 (187)
Prediction of suspended sediment distributions using data mining algorithms
Ain Shams Engineering Journal, 2021 Distribution of sediment concentration in open-channel flows, particularly in rivers, is one of the most important factors in understanding the river behavior, water quality, and design of hydraulic structures.
Yaser Mehri +2 more
doaj +1 more source
ANFIS Approach for Navigation of Mobile Robots [PDF]
2009 International Conference on Advances in Recent Technologies in Communication and Computing, 2009 This paper, discusses about navigation control of mobile robot using adaptive neuro-fuzzy inference system (ANFIS) in a real word dynamic environment. In the ANFIS controller after the input layer there is a fuzzy layer and rest of the layers are neural network layers. The adaptive neuro-fuzzy hybrid system combines the advantages of fuzzy logic system,
Mukesh Kumar Singh +2 more
openaire +1 more source
Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2021 Buharlaşma, yeryüzünde bulunan suyun atmosfere transferi olarak tanımlanabilmektedir. Buharlaşma miktarının doğru tahmini özellikle kurak dönemler ve kurak alanlarda büyük öneme sahiptir.
Özlem Terzi, Tahsin Baykal
doaj +1 more source
Determination of industrial energy demand in Turkey using MLR, ANFIS and PSO-ANFIS [PDF]
Journal of Artificial Intelligence and Systems, 2021 Energy is one of the most critical inputs in social and economic development, is an essential factor in increasing living standards and creating sustainable development. Since energy is an indispensable input in all sectors, energy dependence contributed to the necessity of countries' energy policy.
openaire +1 more source
PMU‐Based Wide Area Monitoring With Machine Learning to Prevent Blackouts in Bangladesh Power System
Energy Science &Engineering, EarlyView.A Unified Real‐time Dynamic State Measurements (URTDSM) system with PMU and Phasor Data Concentrator (PDC) deployment plan has been proposed to avoid blackout in the Bangladeshi power system. Machine learning has been used to process data from PMU to identify abnormal events. ABSTRACT The electrical power system must be trustworthy and secure enough to
Imi Bintey Fariha Rahman +5 more
wiley +1 more source
Energy Science &Engineering, EarlyView.A Tri‐Meta Hybrid DOA–CSA–WOA Maximum Power Point Tracking controller is developed to enhance photovoltaic system performance. The proposed approach achieves higher tracking efficiency, faster convergence, and robust operation under dynamic irradiance and partial shading conditions.
Ali Abbas +6 more
wiley +1 more source
Prediction of suction caissons behavior in cohesive soils using computational intelligence methods [PDF]
International Journal of Mining and Geo-Engineering, 2020 Compared to drag anchors, suction caissons (Q) in clays often provide a cost-effective alternative for jacket structures, catenary, tension leg moorings, and taut leg.
Hadi Fattahi, Hosnie Nazari
doaj +1 more source
Hybrid PSO-ANFIS for Speaker Recognition
International Journal of Cognitive Informatics and Natural Intelligence, 2021 This paper introduces an evolutionary approach for training the adaptive network-based fuzzy inference system (ANFIS). The previous works are based on gradient descendent (GD); this algorithm converges very slowly and gets stuck down at bad local minima.
Samiya Silarbi +2 more
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Research progress on the depth of anesthesia monitoring based on the electroencephalogram
Ibrain, Volume 11, Issue 1, Page 32-43, Spring 2025.Electroencephalogram (EEG) can noninvasive, continuous, and real‐time monitor the state of brain electrical activity, and the monitoring of EEG can reflect changes in the depth of anesthesia (DOA). The development of artificial intelligence can enable anesthesiologists to extract, analyze, and quantify DOA from complex EEG data.
Xiaolan He, Tingting Li, Xiao Wang
wiley +1 more source
A Hierarchical Procedure for the Synthesis of ANFIS Networks [PDF]
Advances in Fuzzy Systems, 2012 Adaptive neurofuzzy inference systems (ANFIS) represent an efficient technique for the solution of function approximation problems. When numerical samples are available in this regard, the synthesis of ANFIS networks can be carried out exploiting clustering algorithms.
openaire +4 more sources