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Discussion on “Application of probabilistic neural network to design breakwater armor blocks” by D. Kim, D. Hyawn Kim, Seongkyu Chang [Ocean Engineering 35 (2008) 294–300]
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Solving maximum clique problem by cellular neural network
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Implementation of a cellular neural network based segmentation algorithm on the bio inspired vision system
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Solving maximum clique problem by cellular neural network
Electronics Letters, Vol. 34, No. 15, Ocak 1998, s. 1504-1505, ISSN: 00135194
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Modeling influences of dopamine on synchronization behavior of striatum
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Modeling of Synchronization Behavior of Bursting Neurons at Nonlinearly Coupled Dynamical Networks
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Solving maximum clique problem by cellular neural network
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Comparison of the Empirical and Artificial Neural Network Models to Estimate Performance of Roadheaders
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TUMAÇ DENİZ,AVUNDUK EMRE
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Analyzing Functional Connectivity Using a Network Likelihood Model of Ensemble Neural Spiking Activity
Neural Computation, Vol. 17, No. 9, Eylül 2005, s. 1927-1961, ISSN: 0899-7667
OKATAN MURAT,WİLSON MATTHEW A,BROWN EMERY N
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A Bayesian regularized feed-forward neural network model for conductivity prediction of PS/MWCNT nanocomposite film coatings
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DermoNet: Densely Linked Convolutional Neural Network for Efficient Skin Lesion Segmentation
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Evolution of entanglement in quantum neural network
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General underactuated cooperating manipulators and their control byneural network
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Modelling A Single-Rotor Wankel Engine Performance With Artificial Neural Network At Middle Speed Range
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Neural Network Based Trajectory Planning for Tip Tracking of a Two Link Flexible Robot Manipulator
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Neural Network Based Data Filtering For Position Tracking Of An Underwater Vehicle
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Performance Evaluation of Neural Network Filters for Use of Position Tracking of an Autonomous Underwater Vehicle
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Extended Kalman Filter Based Modified Elman-Jordan Neural Network for Control and Identification of Nonlinear Systems
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