神经网络

Based on a Hopfield neural network mode for combinational circuit test generation, a test generation algorithm with global searching ability is proposed. This algorithm is the combination of chaotic searching with gradient algorithm. By means of the inherent stochastic and ergodic property of chaotic searching, the problem of being trapped in local minimum of gradient algorithm can be solved.

基于组合电路测试生成的离散Hopfield神经网络模型，将混沌搜索与Hopfield网络的梯度算法相结合，利用混沌搜索的内随机性及遍历性来克服梯度算法易于陷于局部极小的缺点，形成一种具有全局搜索能力的测试生成有效算法。

In theory, any continuous function of n variables can be arbitrarily wellapproximated by the BP Neural Networks.

BP网络从理论上能够逼近任意多变量连续函数，BP网络结构简单，使用方便，是应用最为广泛的一种人工神经网络。

In chapter 2, the principle of neural network and fuzzy logic control are introduced briefly.

在第二章，简要介绍了神经网络和模糊控制的基本理论，包括神经元的结构，网络连接方法及其相应的学习算法，模糊集合与模糊逻辑的基本概念及运算关系，模糊控制器的结构，模糊推理的基本方法。

BP neural networks have been widely used in mode recognizing, image processing, system control etc A lot of study has been done on the training algorithm of BP neural networks But there are still many short comings To complete the training of the weights of a BP neural network, the key problem is how to overcome the staying at the local minimum points as well as how to increase the training speed based on this condition This paper comes up w...

BP神经网络被广泛应用于分类模式识别、图像处理和系统控制等领域人们对BP网络算法进行了许多的研究，但尚有其不足之处为完成其权的训练，问题的关键在于如何避免陷入局部极小及在此前题下如何提高学习速度为此，就如何选取学习率η和动量矩α提出了改进方案，并应用于数字识别，得到了较为满意的结果

By redefining multiplier associated with inequality constraint as a positive definite function of the originally-defined multiplier, it is no longer necessary to convert inequality constraints into equality constraints by slack variables in order to reuse the method dedicated to equality constraints for constructing Lagrange neural networks.

若重新定义与不等式约束相关的乘子为正定函数，则在构造Lagrange神经网络时，可直接使用处理等式约束的方法处理不等式约束，不需再用松驰变量将不等式约束转换为等式约束，减小了网络实现的复杂程度。

On the other hand, the relationship of the input and output of onwards-feed neural networks is static mapping, and they reflect the dynamic characteristic by their input delay.

前传网络的输入输出关系是静态映射关系，须用此前若干个时刻系统的输出作为神经网络的输入来反映所拟合系统的动态特性，即需有输入延迟。

At the recognition stage, we propose the combination of characteristic input and Multi-layer Perception Network, which both reduces information input and improves self-study and fault tolerance of artificial neural network, resulting in a more precise recognition.

在识别阶段，本文采取特征提取和多层感知器网络相结合的识别方法，既可以有效减少信息量的输入，又充分发挥了神经网络的学习和容错能力，从而达到较高的识别精度。

It adopts several techniques such as artificial intelligence , NN and agent and is adaptable for TCP/IP network.

该模型综合了专家系统、神经网络、代理等技术，是一个适合于TCP／IP网络的新型ID方法。

By means of interconnecting some such units, a fully interconnected network that has complex chaotic feature is proposed.

在上面两种方法的基础上，我们又提出一种以具有单映射特征的神经网络作为混沌单元，由多个这样的单元构成的具有复杂混沌特征的全互连网络。

A fuzzy controller is designed, of which the input is the force error and the change of force error which are transfered from the error of interelectrode gap by using another BP NN trained by the pair of the gap-force data gathered in the test.

用这些力一问隙数据对训练一个BP神经网络，通过训练好的网络和在线测得的力实现间隙的在线预报，并设计了一个模糊控制器。

We have no common name for a mime of Sophron or Xenarchus and a Socratic Conversation; and we should still be without one even if the imitation in the two instances were in trimeters or elegiacs or some other kind of verse--though it is the way with people to tack on 'poet' to the name of a metre, and talk of elegiac-poets and epic-poets, thinking that they call them poets not by reason of the imitative nature of their work, but indiscriminately by reason of the metre they write in.

索夫农 、森那库斯和苏格拉底式的对话采用的模仿没有一个公共的名称；三音步诗、挽歌体或其他类型的诗的模仿也没有——人们把&诗人&这一名词和格律名称结合到一起，称之为挽歌体诗人或者史诗诗人，他们被称为诗人，似乎只是因为遵守格律写作，而非他们作品的模仿本质。

The relationship between communicative competence and grammar teaching should be that of the ends and the means.

交际能力和语法的关系应该是目标与途径的关系。