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simulation
This approximation method is used to develop a simulation method of the sample path of linear fractional stable motions.
      
An application to simulation is presented where an associated Fast Wavelet Transform-like algorithm plays a key role.
      
A great number of digital computer simulation experiments have shown the obvious advantage of the new algorithms.
      
The performance of simulation shows that the estimations are highly satisfactory.
      
By Monte Carlo simulation-based approximations of the objective function and its first (second) derivative, an inexact Lagrange-Newton type method is proposed.
      
Some simulation results indicate that the method performs better than the normal approximation method in term of coverage accuracies.
      
Simulation studies are presented which indicate that the asymptotic approximation to the finite-sample situation is good over a wide range of parameter configurations.
      
A small simulation is carried out to evidence the efficiency of the approach proposed in the paper.
      
Molecular simulation of water behaviors on crystal faces of hydroxyapatite
      
Studies on synthesis and molecular dynamics simulation of dendrimers containing amino acids and peptides
      
Simulation results indicate that this algorithm can improve the efficiency of object identification and the reliability of system.
      
The simulation of the algorithm in multisensor object identification is also presented.
      
In this paper, all researches coming from characteristic multipliers, parameter-bifurcation diagrams, and the largest Lyapunov exponent indicate the same results as those produced by simulation and experiment.
      
By using genetic algorithm, GML is realized, and the simulation results illustrate its improved performance compared with DML, especially in the case of multiclusters of coherent sources.
      
The simulation and experimental results are demonstrated to verify the validity of the proposed PWM method.
      
The simulation results show that the FFA snake model has a large capture range and can move a snake into the boundary concavities, and that it is able to obtain the object of interest's contour precisely.
      
The simulation results indicate that the new Snake model greatly decreases the dependence on the Snake point's initial position and effectively overcomes noise influence.
      
Simulation results show that this method is efficient and has better locality compared with the traditional edge detection methods such as the Sobel method.
      
Results of simulation show the effectiveness of the control algorithms.
      
Results from computer simulation show that the proposed method is effective in various environments.
      
 

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