神经网络

Based on expansion radial basis function network, one kind of new dynamic fuzzy neural network algorithm was proposed.

提出了一种新型的动态模糊神经网络算法，该动态模糊神经网络的结构基于扩展的径向基网络。

The Radical asis Function Neural Network is a feed-forward NN model with the capacity of local approximation, so it can be used as a multiple-user detector in the CDMA.

径向基函数神经网络是一种具有局部逼近能力的前向神经网络模型，它可用作码分多址中的多用户检测器，并具有较好的检测性能；但是存在不足，主要表现在网络的构造和训练算法的优化方面。

In contrast to the present algorithm which is based on the modification of connecting weights in between neurons of different layers, the new learning method adjust the deviation and slope parameters of the Sigmoid function.

在对神经网络系统参数研究的基础上，结合人员评价问题，建立了基于样本集分析的神经网络评价模型，同时讨论了评价网络系统的动态维护问题。

The chapter fivediscusses the combinfing methods between fuzzy logic and symbolic expert system,fuzzy logic and neural network.

第二章介绍专家系统…般的结构功能和研究课题；第三章介绍BP网络的相关概念以及改进学习算法；第四章在分析了符号专家系统和神经网络的优缺点的基础上，提出了三种结合模型，并阐述了本论文所采用的结合模型；第五章讨论了模糊逻辑同符号专家系统、神经网络相结合的方法。

Focusing on the disadvantages in the BP neural network such as low convergence rate,easily falling into local minimum point and weak global search capability,a new method that used GA to train BP neural networks to gain best weights was presented.

针对传统的BP算法存在收敛速度比较慢、容易陷入局部极小值以及全局搜索能力弱等缺陷，提出了神经网络与遗传算法。结合的方法，采用遗传算法。练BP神经网络，优化网络权值。

Based on BP neural network model technology, a new approach was developed and applied to appraise the input parameters′significant degree through the weightiness and its distribution between the input and output layer.

摘要在BP神经网络建模技术的基础上，提出利用神经网络输入层与输出层之间的网络权值及其分布来求各输入参数重要程度的方法。

Based on BP neural network model technology,a new approach was developed and applied to appraise the input parameters′significant degree through the weightiness and its distribution between the input and output layer.

在BP神经网络建模技术的基础上，提出利用神经网络输入层与输出层之间的网络权值及其分布来求各输入参数重要程度的方法。

Firstly, the structure of ANFIS is decided by subtractive clustering; then the premise parameters and consequent parameters of ANFIS are trained by hybrid learning algorithm; finally, related factors that impact futural daily electricity price are input into the trained ANFIS to forecast electricity price.

首先采用减法聚类方法确定自适应模糊神经网络的结构，然后利用混合学习算法训练该网络的前件参数和结论参数，最后将影响未来日电价的相关因素输入到训练好的自适应模糊神经网络中进行电价预测。

The application of BP nerval network to failure diagnosis of hydraulic systems in construction machinery is studied. Through collection of the system data, derivation of eigenvectors and structure of classifiers, a learning algorithm is established on the basis of network training. Tests show that satisfactory results can be obtained by the nerval network.

将BP神经网络理论应用于工程机械液压系统故障诊断中进行研究，通过系统数据的采集、特征向量的提取和分类器的构造，在对网络进行训练的基础上，建立了学习算法，通过试验可以看出神经网络能给出的满意结果。

The first part's researches are of the interpattern association optical neural network model.(1) The neurodynamic stability of IPA model is studied after expatiating on its principle and superiority.

第一部分是关于图样间联想光学神经网络（Interpattern Association；简称IPA）模型的研究：（1）在阐述、发展图样间联想光学神经网络模型理论及其优越性的基础上，详细分析了IPA网络的动力学稳定性。

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。