Improved Particle Swarm Optimization algorithm with disturbance term;

This paper according to the requirement of netting in the present defence area,adhibits improved particle swarm optimization algorithm with disturbance term(PSO-DT)embattling optimize.

In this paper,the author first defines self-correlation of first order moving averge model and computes the mean and variance and covariance of its disturbance term,also gives the covariance matrix Ω of disturbance term and proves it is a postive definite matrix.

In this paper,the three-dimessional Euler equations with a disturbing term have mainly been studied.

On the base of them, I study the following p-Laplacian problem with O-Dirichlet boundary value in a general bounded domain Ω of cone-type: -div(|Du|~(p-2) Du) = g(x, u) + f{x), where f(x) is non-odd disturbing term.

In this thesis, we study the maximal number of zero of Abelian integrals for a hyperellipticHamiltonian system with a nilpotent saddle under polynomial perturbations.

The paper highlights the distinguish between the original stochastic disturbance term and the derived stochastic error term, suggests that if the relationship error of model or the measurement error of variables exist in an econometric model, in the most of cases the stochastic error term will not fellow the normal distribution assumption and some other Gauss Assumptions.