18 results with keyword: 'adaptive neuro fuzzy control of wet scrubbing process'
This includes the use of adaptive neuro-fuzzy inference system (ANFIS) to design an intelligent controller based on direct inverse model control strategy using default input and
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Adaptive Control Systems, Robotics, Neuro-Vision Systems, Neuro-Control Systems, Biomedical Systems, Fuzzy Logic and Neural Networks. - Neuro-Vision and Neuro-Control Systems,
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In Hybrid Neuro-fuzzy system nearly nine types of hybrid neuro-fuzzy were given by the authors Jose and their colleagues namely: Fuzzy Adaptive Learning Control Network
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Maximum Power Point Tracking Control for Photovoltaic System Using Adaptive Neuro-
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Accordingly, three artificial intelligence (AI) techniques comprising adaptive neuro-fuzzy inference system (ANFIS), artificial neural network (ANN) and adaptive
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Hence this study was conducted to evaluate the adjunctive effects of diode laser in open flap debridement as compared with conventional mechanical debridement in
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Implementing Adaptive Neuro Fuzzy Logic Technique In applying adaptive neuro fuzzy logic technique, ANN was used to obtained an optimal value of the power loss at
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The block scheme of the proposed self-tuned direct torque neuro-fuzzy controller (DTNFC) for a voltage source inverter fed induction motor is presented in Fig.. The internal struc-
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According to new proposed approach speed control of BLDC motor drive and analysis using adaptive Neuro-Fuzzy inference systems to carry off the weakness of
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Estimation of fines amount in syariah criminal offences using adaptive neuro-fuzzy inference system (ANFIS) enhanced.. with analytic hierarchy
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The Speed control of two Double Star Induction Motors working in parallel configuration with IFOC using a Fuzzy Logic Controller (FLC) and Adaptive Neuro Fuzzy Inference
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Democratic Republic of Congo; green economy; business for peace; nature conservation; electricity;
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An adaptive neuro-fuzzy inference system (ANFIS) based intelligent control [25- 26] for vector controlled induction motor drive includes fuzzy logic algorithm with
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Neural Network inverse model control strategy, Adaptive Neuro Fuzzy Inference System (ANFIS) used in mimicking another controller, and PD- Fuzzy logic will be
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For this task the authors developed a neuro-fuzzy model for fire extinguishing process control, the main elements of which are a neuro-fuzzy model for predicting the fire area,
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Keywords : Double Star Induction Motor (DSIM), Fuzzy logic controller (FLC), Indirect Field Oriented Control (IFOC), Adaptive Neuro Fuzzy Inference (ANFIS), and Six
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