Non-linear network parameters
New non-linear microwave network parameters with application to gallium nitride high electron mobility transistor modeling with x-parameters
... These models are commonly described in terms of state functions (Schreurs, Verspecht et al. 2002). These quantities are classically determined via a small-signal detour based on multi- bias S-parameter measurements ...
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Solution of Linear Programming Problems using a Neural Network with Non-Linear Feedback
... the linear programming problem was proposed by Tank and Hopfield wherein they used the continuous-time Hopfield network ...Hopfield network for an optimization problem, like the LPP, manages a ...
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Neural network modelling of non linear hydrological relationships
... capture non-linear effects within the non- linearity range employed in traditional rainfall-runoff models of the type that are widely used in operational flood forecast- ing systems, ...of ...
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Shock formation and non linear dispersion in a microvascular capillary network
... Figure 6. Solid lines show the scaled force F , versus inter-plate distance for C = [10 3 , 10 4 , 10 5 , 10 6 ]. The dashed line corresponds to the leading-order asymptotic prediction for region II (3.44), which is ...
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Cellular non linear network model of microbial fuel cell
... The grid of the CNN model is of size n×n (here is consisted of 68×68 cells for illustration reasons), and is representing a cross section of an area in the anode compartment near the electrode of a given batch-mode MFC. ...
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Designing Dynamic Neural Network For Non-Linear System Identification
... neural network is the trial and error approach. First a network structure is selected, and then the parameters are ...trained network is good ...a network with quite large number of ...
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A non-linear pseudo measurement technology in Wireless Sensor Network
... of non-defective sensors analyzed as flawed ones to the quantity of non-flawed ...accompanying parameters are characterized to structure the ...
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A non linear neural network technique for updating of river flow forecasts
... the parameters of the neural network are estimated by a sequential optimisation procedure, which uses sequentially the genetic algorithm (a global search method) and the conjugate gradient algorithm (a ...
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Asymptotic multivariate kriging using estimated parameters with bayesian prediction methods for non-linear predictands
... of network design have emphasized the utility of the designs with regards to prediction, usually under the assumption that the covariance function (or semi-variogram) is ...
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Non orthogonal multiple access combined with random linear network coded cooperation
... the network performance, in terms of the decoding probability at each node, and the system throughput; (iii) we validate the accuracy of the derived expressions through simulations and we investigate the impact of ...
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Maximal information component analysis: a novel non-linear network analysis method.
... the parameters uti- lized in Shiga et ...our network, we stop progressing down that branch and add its parent GO category to the standard gene-set, unless there are more than 300 included genes in that ...
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Reducing of THD using DSTATCOM in Distribution Network against Non-Linear Loads
... VII.PARAMETERS Non-linear loads are considered in the proposed models and the distribution static compensator control is modeled in such a way that the harmonics distortion in the current is ...basic ...
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Adaptive Tuned Controller Parameters for Non Linear Tanks
... for non linear conical tank system operates satisfactorily in all the operating ...for non-linear conical system helps to create response with less overshoot and settles to the set point ...
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A numerical study of non-linear crack tip parameters
... other parameters influence da/dN, like stress ratio or load ...mechanics parameters, promoting a strong research effort into the mechanisms and phenomena associated with fatigue crack ...
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Identification of Linear and Nonlinear Parameters for Systems with Local Non Linearity
... of linear and nonlinear parts of the system and thus makes it possible to utilize some well-developed linear techniques ...hysteresis parameters and linear structural parameters are ...
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Robust control of Non Linear Parameters of Paper machine Headbox
... In this paper, Mathematical model & Simulink model of Paper machine headbox parameters have been developed & also designed Multivariable input multivariable output(MIMO) system for the same. The robustness ...
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Robust Network Capacity Expansion with Non linear Costs
... In this paper, a robust approach to network capacity expansion with non-linear cost functions. 361[r] ...
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Distinguishing two Different Mental States with Application of Non Linear Parameters
... Figure 2: Flow diagram of the proposed method. B. Results and Discussion As discussed in the previous subsection, a set of feature vectors have been obtained corresponding to every mental task labels (B, L, M, C and R). ...
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Optimising Kernel Parameters and Regularisation Coefficients for Non-linear Discriminant Analysis
... a linear model is a strong ...why linear models are not always ...is linear in the parameters but nonlinear in the input space f = w T φ(x), see for example (Ruppert et ...
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Comparison of Pavement Network Management Tools based on Linear and Non-Linear Optimization Methods
... network in each condition state receiving treatment, while the linear model allows a different.. 12.[r] ...
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