Accelerated maximum likelihood estimate sampling consensus algorithm using two dementional data;

Astronomical Images Blind Restoration and Reconstruction Based on the Maximum Likelihood;

After analyzing the external loads and the stress of parts,we can calculate the distribution parameters through the methods of spline interpolation and maximum likelihood.

And, based on the maximum likelihood and bootstrap methods,the evaluation of the maximum range is presented for the general model.

In this paper an empirical likelihood resampling is proposed for bootstrapping studentizedleast square estimation in linear regression models.

Genetic analysis for restoring genes of wild-abortive type Indica hybrid rice by maximum likelihood method;

The maximum likelihood function of the fatigue life was proposed based on the maximum likelihood principle, and it was born out that the maximum likelihood method could be used for the fatigue analysis.

This algorithm combines the global search ability of genetic algorithm and local search ability of maximum likelihood method,which makes the hybrid genetic algorithm unaffected by the initial value assignment of maximum likelihood method,and solves the problem of the low convergence rate and low convergence precision of genetic algorithm.

The algorithm first builds the set of candidate targets using the measurements from multiple sensors in multiple sampling periods and estimates the initial states of candidate targets using the maximum likelihood method.

In this paper,a novel robust BP neural network based on the maximum likelihood method is presented.

The maximum likelihood was introduced into the traditional BP algorithm for the sake of estimating the noise distribution during the network approaching of the training sample.