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differentiable相关的网络例句

查询词典 differentiable

与 differentiable 相关的网络例句 [注:此内容来源于网络,仅供参考]

In this paper,continuous differentiable conditios of output response functions of Hopfied neural networks in usual papers is reduced to Lipschitz condition.

因此,本文将通常论文中Hopfield神经网络的输出响应函数连续可微的假设削弱为满足L ipschitz条件。

In this paper continuous differentiable conditions of output response functions of bidirectional associate memory neural networks are reduced to Lipschitz condition.

因此,本文将双向联想记忆神经网络的输出响应函数连续可微的假设削弱为满足Lipschitz条件,通过引入Lyapunov函数,利用不等式的方法,证明了双向联想记忆神经网络全局指数稳定性的一个定理。

Moreover,we consider the techniques in calculating the map\'s degree respectively in two cases that the functional responses function is monotone and differentiable or is nonmonotonic and undifferentiable.

本文深入到算子度的计算方法尤其是抽象算子同伦映射的构造,并为抽象算子同伦映射的构造提供了普遍适用的操作方法,即一步到位构造一个多项式函数作为抽象算子的同伦映射。

Let be twice differentiable on the open interval. Then

如果函数在上连续,在内具有一阶和二阶导数,那么

The principle of parallel coordinates are introduced firstly,then the differentiable curves' representation in parallel coordinate space is derived.

本文首先阐述了平行坐标的基本原理,并且推导了欧式空间的可微曲线在平行坐标空间的表达形式。

Using normal distribution transform probability model to represent a laser range scan.Not need features corresponded,but transform the discrete scan date to the piecewise continuous and differentiable probability density function,and using Newton's algorithm to optimize scan matching,so can build the 2D global map.

利用正态分布转换概率模型来表示激光扫描,不需利用特征对应,而是通过将扫描得到的离散数据点转换成分段连续可微的概率密度函数,并利用牛顿优化算法来进行扫描匹配,从而建立2维全局地图。

Firstly, this paper definited pseudometric d for n -foldproduct of σ-algebra A of subsets of a given set X , and definited indicator function ; secondly, gave the concept of differentiable of set function at S° and concept of partial derivative at S° with respect to the ith argument Si through indicator function, and defound the weak efficient solution of and optimality necessary condition; Finally, obtained three weak duality results and strong duality results under generalized convexity conditions.

首先,对已知集X的子集的σ-代数A的n-折积A^n,定义了伪度量d,给出了相应的特征函数〈h,Is〉;其次,通过特征函数给出了集函数在S 可微的定义及集函数在S 关于第i个变量Si的偏导数定义;给出了多目标规划问题的弱有效解概念及的最优性必要条件;最后,分别在目标函数和约束函数的3种较弱凸性条件下,研究n-集函数多目标规划问题的对偶问题,获得了3个弱对偶结果和强对偶结果。

The existence theorem of generalized weak efficient solutions with respect to variable, cone for a linear G〓teaux differentiable mapping is proved with set valued mapping fixed-point theorem and the relation between a vector optimization and a variational inequality problem. The existence of weak efficient solutions for multi-objective convex vector optimization is characterized.

建立映射在线性G〓teaux可微条件下关于可变锥的广义弱有效解的存在性及多目标凸向量优化问题在G〓teaux可微条件下弱有效解的特征,利用集值映射不动点定理及向量优化与变分不等式的关系证明线性G〓teaux可微锥凸映射关于可变锥的广义弱有效解的存在性定理。

In chapter 2, we firstly introduce the model of a discrete-time neural network with generalized input-output function. The model generalizes the input-output function in transiently chaotic neural network to a class of continuous, differentiable and monotone increasing functions. Secondly we study the uniformly asymptotical stability of equilibrium in the non-autonomous model. Finally, several examples and numerical simulations are given to illustrate and reinforce our theories. In chapter 3, we firstly introduce a specific class of discrete-time neural network models with sinusoidal activation function.

在本文的第二章中,首先介绍了一类具有广义输入输出函数的非自治离散神经网络模型,该模型把瞬时混沌神经网络模型中的输入输出函数推广到了一般的单调递增且连续可微的函数;其次,利用Schauder不动点原理和利用Lyapunov函数逆定理依次证明了模型平衡点的存在性和该模型在时变权值下的一致渐近稳定性;最后,对几个具体的例子进行数值模拟,数值模拟的结果更好地说明了我们的结论。

The model generalizes the input-output function in transiently chaotic neural network to a class of continuous, differentiable and monotone increasing functions. Secondly we study the uniformly asymptotical stability of equilibrium in the non-autonomous model. Finally, several examples and numerical simulations are given to illustrate and reinforce our theories. In chapter 3, we firstly introduce a specific class of discrete-time neural network models with sinusoidal activation function.

在本文的第二章中,首先介绍了一类具有广义输入输出函数的非自治离散神经网络模型,该模型把瞬时混沌神经网络模型中的输入输出函数推广到了一般的单调递增且连续可微的函数;其次,利用Schauder不动点原理和利用Lyapunov函数逆定理依次证明了模型平衡点的存在性和在时变权值下的一致渐近稳定性;最后,对几个具体的例子进行数值模拟,数值模拟的结果更好地说明了我们的结论。

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