网络函数

Based on the segmented unstructured model of Nosiheptide fermentation process, the secondary variables are selected according to the implicit function existence theorem. The on-line identification of fermentation phases is accomplished by using an indicator variable which is gained by mathematical inference, and for each phase, a local soft sensor model is developed.

首先以分阶段的诺西肽发酵过程非结构模型为基础，根据隐函数存在定理进行辅助变量的合理选择；然后利用经数学推导得到的指示变量"伪比生长率"完成发酵阶段的在线辨识，并采用神经网络构建出对应于各阶段的局部软测量模型。

There is no parameter involved,and the existence of global solutionof the initial value problem of the proposed network,its convergence and stability are strictlyproved by establishing a Lyapunov function.

构造了恰当的Lyapunov函数，证明了初值问题解的整体存在性，网络的稳定性和收敛性。

This method can reduce the number of input variable while the function is still unchanged. So the scale of Neural Networks can be reduced and the generalization can be enhanced.

这种方法在保证原有函数形式不变的前提下，简化了输入变量，缩小了神经网络的规模，增强了模型的泛化能力。

The main ideas are as follows. 1. To estimate instantaneous speed and angle position when angular sampling can not used, some methods have been analyzed firstly.

为此，本文分别采用计算阶比分析、广义多相干分析和径向基函数网络等方法，来解决旋转机械变速过程中的信号预处理、特征提取和烈度监测等问题。

For its two special cases: N = 0 and R=0, based on nongradient and gradient methods respectively, neural networks for the two cases are constructed. With the Lyapunov theorem and the LaSalle invariant set principle, the proposed networks are proved to be

推广了R_0性质的定义，并证明无约束优化问题目标函数的水平集的有界性与矩阵对的R_0性质是等价的，最后运用Lyapunov稳定性理论和LaSalle不变原理，严格分析了网络模型的稳定性和收敛性，这些模

A new algorithm : inverse main element method using Gaussian point spread function of the characteristics the RBF n...

提出一种新的算法：逆主元法，利用高斯点扩展函数的特性，在径向基神经网络的模型下，对图像进行盲目复原。

A new algorithm : inverse main element method using Gaussian point spread function of the characteristics the RBF neural network model, the image blind rehabilitation.

详细说明：提出一种新的算法：逆主元法，利用高斯点扩展函数的特性，在径向基神经网络的模型下，对图像进行盲目复原。

Neural networks ; genetic algorithm ; robot ; inverse kinematics ; fitness function

神经网络；遗传算法；机器人；逆运动学；适应度函数

This paper describes a systematic theoretical analysis and derivation of the synthesis of impedance of irrational function into a passive network.

本文主要对无理函数的阻抗函数综合为无源网络的问题进行了系统的理论分析和推导，并从以下三个方面进行论述：综合方法、正确性以及在载波通信中的具体应用。

First, this method calculates the iteration step size with the average value of connectivity ,then it optimizes the local cost functions.

该算法首先根据网络的平均连通度确定迭代步长，然后对每个未知节点的局部代价函数进行优化求解。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。