神经网络

Using BP algorithm of feed-forward neural network in fuzzy neural network, the small disjunction samples are further processed.

采用模糊神经网络中的前向神经网络BP算法对小分裂样本进行进一步处理。

Neural network-based face distinguishment Human face is a kind of special pattern and has variances in size, location, rotation and distribution in facial features.

基于神经网络的人脸判别人脸是一种特殊的图象模式，在不同的人脸图象中，人脸在大小、位置、旋转角度、侧转程度、五官分布等许多方面存在着差异，难以用传统的神经网络分类方法加以判别。

By means of the projection method,adding a small disturbing function to the objective function, the penalty method, andthe gradient method, this dissertation proposes several neural networks for solvingsaddle point problems and minimum radius of ball-coverings problems, and investi-gates the stability of the proposed networks by the LaSalle invariance principle andthe Lyapunov method, so as to design neural networks which avoid getting stuck inthe local minimum.

本文针对约束鞍点问题和球覆盖最小半径的计算问题，分别利用投影法、对目标函数加上很小"扰动函数"的逼近法、罚函数法和梯度法等建立神经网络模型进行求解，并基于LaSalle不变集原理和Lyapunov直接法等工具，对模型的动态特性进行研究，从而设计出避免陷入局部极小的优化计算神经网络模型。

Plenty of samples is provided for training BP neural network by traditional design method and the topology structure is built using forward propagating data and backward propagating error data, which is applied to optimal design of parallel double broken line pulley in order to accomplish the mapping between main parameter of hoisting mechanism of gantry crane and the related parameters of parallel double broken line pulley.

利用传统的设计方法为BP神经网络的学习提供足够样本集，然后通过正向传播和误差反向传播建立BP神经网络的拓扑结构，并将其应用于平行双折线卷筒的智能设计中，以完成龙门起重机起升机构主要设计参数与平行双折线卷筒相关参数的映射，提高设计的质量和效率，为龙门起重机关键零部件的智能设计提供一个新的途径。

In order to make the neural network application suffice the demands of double-quick computing and tidy memory capacitance in embedded systems, an optimization method of neural network with fixed-point number was proposed.

为了使得神经网络的应用符合嵌入式系统快速计算、存储量精简的要求，提出了一种定点数权值神经网络的优化方法。

The dyn amic characteristic model is bui lt and the simulation is made by using GA based neural network.

用基于遗传算法的神经网络对滑觉传感器的动态性能进行了建摸和仿真，从传感器应用的角度出发，依据"逆模型"思想，采用神经网络对传感器建立辨识模型，从而提高了机械手的控制精度和灵敏度

Some SAR image eigenspaces are constructed for different aspects based on independent component analysis. An independent neural network is trained for each of eigenspace of different aspects. The trained neural networks are used to recognize SAR targets, and their results are combined through D-S evidence reasoning.

通过独立分量分析构造若干个方位角的SAR图像特征空间，为每一特征空间各训练一个模糊极小极大神经网络用于分类，然后利用D-S证据理论集成各个神经网络的输出。

RBF neural network theory was used to establish a new model in order to predict the piping of embankment.

运用基于RBF神经网络的基本原理，建立了堤防管涌预测的RBF神经网络模型，从新的角度研究堤防管涌的预测问题，对该问题进行了探索性的研究。

After the pertinence analysis of endoplasm parameters, designed an artificial neural network which built the training sample with grape images information and pericarpial pigment parameters and another artificial neural network which built the training samples with pericarpial pigment parameters and total acid, total sugar, soluble solids of sarcocarp. Using this combined module, realized the nondestructive measurement according to grape images information.

通过对内质参数的相关性分析，设计了由葡萄图像信息预测色素内质参数的人工神经网络及由果皮色素参数预测果肉总酸、总糖、可溶性固形物的人工神经网络模型，通过两个模型组合来实现根据葡萄图像信息进行采前无损检测的目的。

The stability of the network is given by the state equation of the network.

根据动态前向神经网络的状态方程，本文给出该神经网络的稳定条件。

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。