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In the first charpter,response variable is generalized to q dimensions, we propose the concept of QMLE and quasi function in nonlinear models, then under mild conditions, we prove that there exists the solution_n with probability 1 for sufficiently large n, and obtain the strong consistency, some results of asymptotic normality, meanwhile consistent estimator of σ~2 for QMLE for heterosedastic nonlinear models is presented.

在第一章中,我们首先将响应变量由一维推广到了多维,得出了非线性模型的极大拟似然估计的定义和拟似然方程,然后在一定的条件下,证明了当样本量n充分大时,拟似然方程以概率1有解??_n且收敛于参数的真值(即定理1.2),并且给出了极大拟似然估计的近正态性(即定理1.3,1.4),最后考虑了异方差非线性模型的离差参数σ~2的相合估计(即定理1.5)。

This test result is consistent with the numerical results for gradually-contracted non-coaxial pulse tube refrigerator.

这一实验结果的发现与非同轴缩型脉管性能的数值分析结果在定性上完全一致。

In the last chapter we study the asymptotic behavior of solutions to the model when the signal function is a nonlinear constant function.

第三章研究信号函数为分段常数非线性函数时模型解的近行为。

The continued fraction approximation is developed in reliability analysis for slope stability, the features of this method are rapid speed of calculation, simple and direct, high precision and effectively combin ing method of fixed value with probabilistic method on stability analysis for slope.

在斜坡的可靠性分析中,引入了函数连分式近法,其特点是计算速度快、简捷、精度高,有效地将斜坡稳定性评价的定值方法和概率方法有机地相结合。

Construction of confidence bands for continuous distribution functions is considered.

研究连续分布函数的置信带的构造问题,利用Kolmogorov-Smirnov统计量构造了具有近频率性质的连续置信带。

A class of uncertainty T-S dynamical fuzzy systems is given using the Lyapunov function method.The non-fragile controller design of continuous uncertain dynamical fuzzy system is given.

首先给出不确定T-S动态模糊系统的模型;然后利用Lyapunov函数方法,研究连续不确定动态模糊系统的非脆弱控制器设计,得到基于LMI的不确定动态模糊系统的全局近稳定性条件。

We consider the cubic Hermite-Pade approximation and give the contour integral representations of coefficient polynomials.

研究了三次Hermite-Pade逼近系数多项式的围道积分表示,利用鞍点法得到了这些多项式的近估计。

A series convergent to any given number could be derived with this method.

通过反复地使用这个算法,可以非常容易地求得被逼近实数的一系列近分数。

A fixed point of a discrete-time neural network with generalized input-output function and by using the converse theorem of Lyapunov function we study the uniformly asymptotical stability of equilibrium in this discrete-time neural network with variable weight and give some sufficient conditions that guarantee the stability of it.

本文首先介绍了几类离散神经网络模型的由来及其研究概况,利用Schauder不动点原理证明了一类具有广义输入输出函数的离散神经网络模型平衡点的存在性,利用Lyapunov函数逆定理给出了这类离散神经网络模型在时变权值下的一致近稳定性的充分条件。

In this thesis, we firstly introduce several class of discrete-time neural network models and the research progress of the neural networks. By Schauder fixed-point principle we prove the existence of an equilibrium (i.e. a fixed point) of a discrete-time neural network with generalized input-output function and by using the converse theorem of Lyapunov function we study the uniformly asymptotical stability of equilibrium in this discrete-time neural network with variable weight and give some sufficient conditions that guarantee the stability of it.

本文首先介绍了几类离散神经网络模型的由来及其研究概况,利用Schauder不动点原理证明了一类具有广义输入输出函数的离散神经网络模型平衡点的存在性,利用Lyapunov函数逆定理给出了这类离散神经网络模型在时变权值下的一致近稳定性的充分条件。

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Finally, according to market conditions and market products this article paper analyzes the trends in the development of camera technology, and designs a color night vision camera.

最后根据市场情况和市面上产品的情况分析了摄像机技术的发展趋势,并设计了一款彩色夜视摄像机。

Only person height weeds and the fierce looks stone idles were there.

只有半人深的荒草和龇牙咧嘴的神像。

This dramatic range, steeper than the Himalayas, is the upturned rim of the eastern edge of Tibet, a plateau that has risen to 5 km in response to the slow but un stoppable collision of India with Asia that began about 55 million years ago and which continues unabated today.

这一引人注目的地域范围,比喜马拉雅山更加陡峭,是处于西藏东部边缘的朝上翻的边框地带。响应启始于约5500万年前的、缓慢的但却不可阻挡的印度与亚洲地壳板块碰撞,高原已上升至五千米,这种碰撞持续至今,毫无衰退。