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Search results for: fuzzy network
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Year: 2018, Volume: 18, Number: 4
... generated). artificial neural networks [13], fuzzy systems [14], The particle swarm method ... number of solutions below: generated). artificial neural networks [13], fuzzy systems [14] ... , it can be said that it is in selected network system nodes, a class of methods designed to ...
Year: 2012, Volume: 12, Number: 3
... DC motor are From Classical Approaches to Neural Networks and Fuzzy Models. presented. Berlin: Springer-Verlag, 2000 ... Volume 12, Number 3, 2012 State-Space GMDH Neural Networks for Actuator Robust Fault Diagnosis Marcin MRUGALSKI, Marcin ... Method of systems [29]. Data Handling neural network in the state-space The most desirable feature of the ...
Year: 2021, Volume: 21, Number: 3
... in Koczy, et. al., "Combining fuzzy signature and rough sets approach Engineering, vol. ... , high-resolution quantizers are addition to compression, in neural networks, the application of usually used, increasing complexity ... 3, 2021 Robust 2-bit Quantization of Weights in Neural Network Modeled by Laplacian Distribution Zoran PERIC, Bojan DENIC ...
Year: 2007, Volume: 7, Issue: 1
... . illustrative example – neural network (NN) and fuzzy logic Therefore, at a research of such complicated ... system under measurement constraints is described. In this neural networks, simulation. system, the feedback controller is ... , 2007 Simulation of Missile Autopilot with Two-Rate Hybrid Neural Network System Igor ASTROV1, Sergei TATARLY2, Svetlana TATARLY3 ...
Year: 2018, Volume: 18, Number: 3
... 224, pp. 1459 – 1467, 2015. Fuzzy Classifier," Advances in Electrical and Computer Engineering ... the nonlinear functions used in Artificial based applications. Neural Networks (ANNs). As TSTF includes exponential Transfer ... High Speed Tangent Sigmoid Transfer Function Approximations for Artificial Neural Network Applications on FPGA Ismail KOYUNCU Afyon Kocatepe University, ...
Year: 2007, Volume: 7, Issue: 1
... Nikola K. Kasabov, Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering, A Bradford Book ... will have a Index terms — pattern recognition, neural networks, multilayer greater influence over the classification results and ... i- classifies unsupervised using the threshold An artificial neural network with an input layer and an algorithm with a ...
Year: 2014, Volume: 14, Number: 1
... ., Khan, L., "Nonlinear Adaptive NeuroFuzzy Wavelet Based Damping Control Paradigm for SSSC," ... Particle swarm optimization," IEEE International Conference on Neural Networks, Vol. 4, pp. 1942- ... ], maximum transmission lines causes adverse impact on the network, loading, and density of system lines [ ...
Year: 2010, Volume: 10, Issue: 4
... , Number 4, 2010 Design of Saving Circuit with Fuzzy Logic Control for Residences and Small Scale Enterprises Fatih ... Optimal Reactive Power V. CONCLUSION Control for Industrial Power Networks", IEEE Transaction on Industry Applications, vol ... 35(3 ), pp. 506-514, 1999. At the present, the existing compensation systems used ...
Year: 2013, Volume: 13, Number: 3
... the next step, called non-maximum K-means algorithm, the fuzzy c-means algorithm, suppression, is to keep only ... 26] for lung segmentation. resolutions. Artificial Neural Networks (ANNs) can be used for X- ... relationships between in medical imaging is the feed forward neural network. The structures), obtain by manual segmentation ...
100. AC-DC Bidirectional Converter-based Flexible Interconnection for Low Voltage Side in Power Systems
Year: 2024, Volume: 24, Number: 1
... and carbon neutrality targets in china: A Delphi and Fuzzy AHP approach," Sustainability, vol. 15 ... electronic transformer (PET), which has a distribution networks. Finally, based on a DC interconnection high ... local power distribution networks have specific problems internal power distribution network of the enterprise plant, a with photovoltaic absorption ...
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