Results 1 to 10 of about 30,843 (209)
Modeling and Simulation of an Adaptive Neuro-Fuzzy Inference System (ANFIS) for Mobile Learning
IEEE Transactions on Learning Technologies, 2012 With recent advances in mobile learning (m-learning), it is becoming possible for learning activities to occur everywhere. The learner model presented in our earlier work was partitioned into smaller elements in the form of learner profiles, which collectively represent the entire learning process.
Ahmed Al-Hmouz +3 more
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Journal of King Saud University: Engineering Sciences, 2017 This paper describes the application of adaptive neuro-fuzzy inference system (ANFIS) to estimate the biochemical oxygen demand (BOD) of Surma River of Bangladesh. The data sets consist of 10 water quality parameters which include pH, alkalinity (mg/L as
A.A. Masrur Ahmed +1 more
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Respiratory motion prediction by using the adaptive neuro fuzzy inference system (ANFIS)
Physics in Medicine and Biology, 2005 The quality of radiation therapy delivered for treating cancer patients is related to set-up errors and organ motion. Due to the margins needed to ensure adequate target coverage, many breast cancer patients have been shown to develop late side effects such as pneumonitis and cardiac damage.
Manish, Kakar +4 more
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Energies, 2023 This paper compares the performance of different control techniques applied to a high-performance brushless DC (BLDC) motor. The first controller is a classical proportional integral (PI) controller. In contrast, the second one is based on adaptive neuro-
Abdessamad Intidam +6 more
doaj +1 more source
Jurnal Elkomika, 2021 ABSTRAK Kendali vektor merupakan solusi terbaik dalam kendali motor induksi untuk meningkatkan karakter dinamis dan efisiensinya. Pada penelitian ini, sebuah kendali kecepatan PID dipadukan dengan Adaptive Neuro Fuzzy Inference System (ANFIS) untuk ...
HANIF HASYIER FAKHRUDDIN +6 more
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A Novel Approach for Estimation of Sediment Load in Dam Reservoir With Hybrid Intelligent Algorithms
Frontiers in Environmental Science, 2022 Predicting the amount of sediment in water resource projects is one of the most important measures to be taken, while sediments have an unknown nature in their behavior.
Hojat Karami +11 more
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Comparative Study Analysis of ANFIS and ANFIS-GA Models on Flow of Vehicles at Road Intersections
Applied Sciences, 2023 In the last two decades the efficient traffic-flow prediction of vehicles has been significant in curbing traffic congestions at freeways and road intersections and it is among the many advantages of applying intelligent transportation systems in road ...
Isaac Oyeyemi Olayode +2 more
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PSO-ANFIS and ANN Modeling of Propane/Propylene Separation using Cu-BTC Adsorbent [PDF]
Journal of Chemical and Petroleum Engineering, 2019 In this work, an artificial neural network (ANN) model along with a combination of adaptive neuro-fuzzy inference system (ANFIS) and particle swarm optimization (PSO) i.e.
Sohrab Fathi +3 more
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IEEE Access, 2020 In complex industrial processes (CIPs), due to technical and economic limitations, key performance indicators (KPIs), especially the chemical content-related KPIs, are often difficult to measure in real time, which hinders the propagation of advanced ...
Jinping Liu +5 more
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