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Search results for: fuzzy network
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Year: 2017, Volume: 17, Number: 1
... M.N. Uddin, K.S. Gaeid, "Adaptive Fuzzy doi: 10.1109/60.986441 Sliding-Mode Control Into Chattering-Free ... "Development and Implementation of a Simplified Self-Tuned Neuro – Fuzzy-Based IM Drive," IEEE Trans. on Ind ... , T.S. Radwan, M.A. Rahman, "Fuzzy-logic-controller- Phase voltage (Volt) 220 Ld 159 ...
Year: 2007, Volume: 7, Issue: 1
... (27), 2007 Adaptive Networks Safety Control on Fuzzy Logic Vadim MUKHIN1, Elena PAVLENKO2 National Technical University ... , and Kupriyanov M. C. (2003) Neural-fuzzy systems Network, Vol. 9, No 2 ... ), Number 1 (27), 2007 Adaptive Networks Safety Control on Fuzzy Logic Vadim MUKHIN1, Elena ...
Year: 2013, Volume: 13, Number: 1
... used. The method consists of using a learning rate fuzzy neural network architectures that use neurons and for each ... obtained at the outputs of each network are The neural networks are architectures that use several processed by using analysis ... Effect of Noise in Printed Character Recognition System Using Neural Network Sandel GHEORGHITA1, Radu MUNTEANU1, Adrian GRAUR2 1 ...
Year: 2013, Volume: 13, Number: 1
... 1. For automated medical image segmentation, a new fuzzy level set algorithm [15] uses fuzzy clustering ... presented for the first time by present, the convolutional networks are the best techniques for Fukushima [1] ... Segmentation of Bone Structure in X-ray Images using Convolutional Neural Network Cosmin CERNAZANU-GLAVAN, Stefan HOLBAN Politehnica University of Timisoara ...
Year: 2022, Volume: 22, Number: 3
... Volume 22, Number 3, 2022 On Board Neuro Fuzzy Inverse Optimal Control for Type 1 Diabetes Mellitus Treatment ... had the disease and they are classified implementation of a neuro-fuzzy inverse optimal control (NF- as undiagnosed diabetics ... depending on their age range, monitoring, fuzzy neural networks, neurocontrollers, virtual prototyping. ethnicity, sex ...
Year: 2014, Volume: 14, Number: 1
... motor syndrome, with clinical specific nonlinear dynamics parameters or fuzzy logic in relevance. PD occurs in approximately 100-250 ... Tremor Severity Using Nonlinear Dynamics, Artificial Neural Networks and Neuro-Fuzzy Classifier Oana GEMAN1,2, Hariton COSTIN3, ... Assessing of Tremor Severity Using Nonlinear Dynamics, Artificial Neural Networks and Neuro-Fuzzy Classifier Oana GEMAN1,2, Hariton ...
Year: 2018, Volume: 18, Number: 3
... Mencar, and Torsello [25] also proposed a fuzzy clustering simplified version of [6] in terms ... the flexibility to guide them to User profiling in computer networks is a very common decide the next move. ... addition, most of the IoT studies either concentrate on network topologies or power consumption, communicates by means of ...
Year: 2019, Volume: 19, Number: 4
... : algorithm. Dynamically adapting the inertia weight using a fuzzy system was one of the earliest modifications to the ... the stated problem are explained. Design of the matching networks For a dual band operation matching network design with ... Volume 19, Number 4, 2019 Tri-band Impedance Matching Network Design Using Particle Swarm Optimization Algorithm Sadık ÜLKER Electrical ...
39. Interval Type-2 Fuzzy Logic Controller Based Maximum Power Point Tracking in Photovoltaic Systems
Year: 2013, Volume: 13, Number: 3
... Engineering Volume 13, Number 3, 2013 Interval Type-2 Fuzzy Logic Controller Based Maximum Power Point Tracking in Photovoltaic ... N. Altin, I.Sefa, "dSPACE based adaptive neuro-fuzzy controller of Conference and Exposition, vol. 3 ... 1501-1506, 2004. [Online]. grid interactive inverter", Energy Conversion and Management, vol. ...
Year: 2020, Volume: 20, Number: 2
... . Mathematically, Gil et al. have developed a fuzzy model for determining travel and delay times on a ... a prediction model for the models such as artificial neural networks (ANNs) have been activities of companies [ ... ARIMA is widely Machine (SVM), Autoregressive Neural Network, LSTM, used because of its simplicity and ...
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