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Search results for: neural network
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Year: 2014, Volume: 14, Number: 1
... cache access patterns Index Terms €” cache memory, fuzzy neural networks, with a filtering effect. Furthermore, ... and LFU only Takagi €“ Sugeno model, replacement policy, supervised learning. consider one factor each that is ... , FIFO demonstrates the best advantages with regard to neural network (NN) and poor performance as shown in ...
Year: 2014, Volume: 14, Number: 1
... studied over the past years. combining fuzzy logic and neural networks. The simple Evolutionary algorithms such as Particle ... output (SISO) methodology using Adaptive Neuro-Fuzzy Inference System networks. An ANFIS implementation for energy prediction (ANFIS ... Neural could overcome the shortcoming of the ANNs and fuzzy Network (ANN) was presented in [3-4] ...
Year: 2013, Volume: 13, Number: 1
... The Unified Parkinson's Disease Rating Scale International Joint Conference on Neural Networks IJCNN'2004, (UPSRS): Status and ... ", Movement Disorders, Vol. Budapest, Hungary, pp. 1207-1216, 2004. 18, No ... Fuzzy clustering of human activity", Fuzzy Adaptive Neural Network Fuzzy System", Proceedings of the World Sets ...
Year: 2013, Volume: 13, Number: 4
... , these traditional methods can not be (BP) neural network based acoustic source localization method applied directly. ... , F. A. Sakarya, "A unified neural-network-based speaker microphone arrays in the Hopkins acoustic surveillance unit ... , Micro- localization technique", IEEE Transactions on Neural Networks, vol. Nanoelectronics, Technology and Applications ...
Year: 2013, Volume: 13, Number: 3
... [26] for lung segmentation. resolutions. Artificial Neural Networks (ANNs) can be used for X ... E. Atlas based methods ray image segmentation. The use of ANNs for medical Atlas-based segmentation methods represent a ... relationships between in medical imaging is the feed forward neural network. The structures), obtain by manual segmentation ...
Year: 2013, Volume: 13, Number: 3
... difference between two consecutive In [9] a recognition scheme based on the Growing Neural frames. We call this the DIF operator. We use this method in ... X. Liu and K. Fujimura, "Hand gesture recognition using depth neural networks," Expert Systems with Applications, vol. 32, 1, pp ...
Year: 2013, Volume: 13, Number: 3
... based methods, the curve fitting method, and the neural and a linear fuzzy membership function in determining the ... method in terms of the average estimation error of proper value of the distinguishing coefficient, the proposed gas breakdown ... , pp. 179-86, 2001 grey forecasting with neural network-based fuzzy regression by an [11] S.F. ...
198. Interval Type-2 Fuzzy Logic Controller Based Maximum Power Point Tracking in Photovoltaic Systems
Year: 2013, Volume: 13, Number: 3
... [5-6]. and output variables of fuzzy logic controller. Since type-2 The neural networks are also used as MPPT algorithm. fuzzy sets are used, effect ... uncertainties on maximum power Since the PV arrays have different characteristics, neural- point tracking capability is removed. Operation point of the networks have to be trained for ...
Year: 2013, Volume: 13, Number: 3
... SPSA to servo system control," IEEE Transactions on Neural [1] D. Levy, M. ... , and A. Alexandrovitz, "Optimal control of Networks, vol. 22, no. 12, ... http://dx.doi.org/10.1080/00207727708942042 neural network and simultaneous perturbation stochastic [2] N. ...
Year: 2013, Volume: 13, Number: 3
... wind power measurement applications in power systems," IEEE Transactions on forecasting using ridgelet neural network," Electric Power Systems Smart Grid, vol.1, no.1, pp.20-27 ... x1 ,Œ, x p), a certain category rule backup protection communication network; The reliability evaluation about the wide area backup can divide R into ...
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