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Search results for: fuzzy network
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Year: 2015, Volume: 15, Number: 2
... need is a camera mounted on the robot's to use fuzzy logic in order to make more human-like end effector ... [13]. The method movements. Artificial neural networks have been seems interesting, but it could be ... 10.1109/RAST.2013.6581353 fewer degrees of freedom by modular neural network systems," [18] F. Medina ...
Year: 2013, Volume: 13, Number: 2
... Artificial Bee Optimization", Conference of the North American Fuzzy Information Colony Algorithm", Applied Mathematics and Computation ... Number of Particles Proceedings of IEEE International Conference on Neural Networks for a Simplified Particle Swarm Optimization Algorithm", ... , pp. 11- optimization: Application to pipe network design", International 16. Journal of Modelling ...
Year: 2012, Volume: 12, Number: 3
... classification of input data the classification methods it were used KNN with a accuracy Recurrent Fuzzy C-Means (FCM) and WKNN algorithms. We rate of 55%, ... networks KNN with a accuracy rate of compared the cluster position with the statistical parameters 65% (normal state 55-65%, happiness 60-70%, anger 60- ...
Year: 2010, Volume: 10, Issue: 1
... sources in high voltage equipment has been a challenging task network [4]. Fuzzy logic artificial intelligence routine until now. The work reported here, aims to ... feed forward back propagation neural sources in high voltage equipment has been a challenging task network [4]. Fuzzy logic artificial intelligence routine until now. The work ...
Year: 2018, Volume: 18, Number: 1
... and energy obtained from biomass. The microgrid algorithm. Other strategies are based on fuzzy logic and setup has emulators for the geothermal and biomass generators particle swarm optimization ... a software solution and recommended for remote areas where the main grid was not communication network used to implement and test built or available with acceptable price [8, ...
Year: 2011, Volume: 11, Number: 3
... ). Most clustering satisfactory and they completely depend on parameters algorithms like K-means, fuzzy C-Means (FCM) and their initialization. In the past few decades, ... derivatives. Since in these approaches, the Other clustering methods are based on neural networks clustering criterion is based on Euclidean distance between [32] -[ 33 ...
Year: 2017, Volume: 17, Number: 1
... Universities (2017MS33) and the Natural Science vector machine (SVM), the fuzzy forecast method and so Foundation of Hebei Province (G2016502009). on. ... neural Project (973 Program) of China (2012CB215200), the National Natural network (RBF), the wavelet neural network (WNN), support Science ...
Year: 2010, Volume: 10, Issue: 2
... . This system comprises classical models such Index Terms — Computer Based Speech Therapy, Fuzzy as the child data manager, the 3D articulation model, the Expert System ... allow the adaptation and the [3] Vadim Mukhin, Elena Pavlenko, Adaptative Networks Safety Control, Advances in Electrical and Computer Engineering, Suceava, refinement of ...
159. Improving Voltage Profile and Optimal Scheduling of Vehicle to Grid Energy based on a New Method
Year: 2018, Volume: 18, Number: 1
... renewable energy sources such as solar and connection node voltage and peak shaving using a fuzzy wind farms that can cause mismatch between the supply and logic controller (FLC ... EVs batteries on the distribution batteries of the EVs act as a distributed energy storage network and study the charging coordination between peak system in an aggregator of EVs. ...
Year: 2016, Volume: 16, Number: 2
... to its ability to automatically adjust the brakes and introduced [6-7] such as fuzzy control [8-10, 28], sliding steering with changes in brake pressure ... control-state-of-the art review", Vehicle Power and Propulsion implementation of combined FIR-functional link neural network for Conference, 2008 VPPC'08 IEEE, IEEE, pp. 1-6, 2008 ...
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