网络函数

The amplifier itself consists of a cascade of RC neutralized common-emitter stages each with primary tuned interstage transformer.

放大器由中和了的共发射极级链接而成，级间用初级调谐的变压器耦合，叙述分三个部分：第一部分将中和了的共发射极电路用近似等效电路表示，第二部分分析级间网络，将晶体管放大器的功率增益表示成预给的频率函数后，就能导出各级间网络的谐振频率和Q值等，从而求出线路元件的数值。

For improving convergence, this paper firstly introduces Lagrange function to solve constraint problem in large-scale system optimization, secondly constructs the hierarchical optimization networks for large-scale industrial systems with Hopfield network.

为了 提高算法的收敛速度，引入Lagrange函数解决大系统优化问题中的各种约束，并用Hopfield 网络实现了大系统稳态递阶优化的网络算法，最后给出了某一大系统辨识及优化的仿真结果。

W ithout assuming the boundedness, monotonicity, differentiability and Lipschitz continuity of the active functions, an algebraic criterion to ensure existence and globally exponential stability of periodic solutions was obtained.

在 放松该类神经网络激活函数的有界性、单调递增性、可微性及Lipschitz连续等条件下，得到了该类神经网络周期解的存在性与全局指数稳定的代数判据。

The results of simulation show that the backoff algorithm based on logarithmic function is obviously effective in improving the capability of throughput and fairness of Ad Hoc network, reducing network delay and the ratio of packet loss, and the capability of new backoff algorithm is better than that of Binary Exponential Backoff algorithm.

仿真结果表明，基于对数函数的退避算法对提高Ad Hoc网络的吞吐量性能和公平性、降低网络延时有明显的效果，性能优于二进制退避算法。

This algorithm dynamically changed the initial value of collision window and the increasing extent of backoff by using the logarithmic function which took the numbers of network nodes as variable and reduced the probability of collision of data transmission, and the network simulations were carried out by the OPNET software.

该算法使用以网络节点数为变量的对数函数，动态调整竞争窗口初始值和窗口退避增大幅度，降低了数据传输的冲突概率，利用OPNET软件实现对退避算法的网络仿真。

Consequently, the sensitivity of the input random variable of one neural network is defined as the mathematical expectation of the partial derivative in the probability measure space.

当神经网络的类型已知，各个输入变量的联合分布函数已知，就可以明确的求出神经网络对各输入变量的敏感性计算式。

The method of multiple models approximation using self-organizing map neural network is analyzed. The mechanism of this method is different to that of approximation method using other kinds of feedforward neural networks.

针对基于自组织映射神经网络的非线性函数逼近，研究其方法和原理，指出它与一般前向神经网络在逼近原理上的不同。

Then we prove a nonsmooth minimax theorem by usingsome relative results about multi-valued maximal monotone mappings. Finally, we construct a nonsmooth minimax network to search for thesaddle points of the saddle functional. We have also proved that thetrajectory of the network is asymptotically convergent to thesaddle point of the saddle functional by usying Lyapunov function.

我们先介绍有关Clarke的广义梯度，次梯度及鞍泛函的有关结论；然后利用多值极大单调映象的满射性结果证明了一个非光滑的minimax定理；最后建立了一个非光滑的minimax神经网络来求解泛函的鞍点，并在一定的条件下构造出LYAPUNOV函数来证明网络的轨道渐近收敛于鞍泛函的鞍点。

These networks are generalized without assuming the boundedness, monotonicity and differenciability of the activate functions.

在放松神经网络的激活函数的有界性、单调递增性和可微性的条件下，得到了神经网络的全局渐近稳定的条件。

Based on multi-distribute agent radial basic function neural net This paper puts forward a new way of Network behavior analysis.

本文根据网络行为受多种因素的影响和它们之间的耦合程度，提出用多分布主体代理的径向基函数来分析网络行为，并通过实验仿真验证了该方法的可行性。

Neither the killing of Mr Zarqawi nor any breakthrough on the political front will stop the insurgency and the fratricidal murders in their tracks.

在对危险的南部地区访问时，他斥责什叶派民兵领导人对中央集权的挑衅行为。

In fact,I've got him on the satellite mobile right now.

实际上 我们已接通卫星可视电话了