神经网络

A methodology of noise-like key generation is presented. Chaotic process of tentmap function is used as a deterministic generation of noise-like key, image storage and retrieval are completed in a algebraic form. A mathematics model of noise-like chaotic coding memory is constructed, meanwhile the basic mechanism of circulant convolution and circulant correlation in image information storage and retrieval are demonstrated.

在详细阐明数字序列和字母序列的1-D映射函数设计方法的基础上，利用构造出的1-D映射的稳定周期环和不稳定极限环完成了存储和联想记忆功能，为了识别有关的输入信息，提出了映射函数直接控制的方法；在此基础上，提出了一种1-D映射型混沌神经网络模型，该网络本身不当作一个"黑箱"处理，网络的参数值由网络中实现的映射函数来确定，该网络模型具有联想记忆、容错性、模式识别和奇异滤波等一系列智能信息处理的基本功能。

A kind of quatratic programming technique,Potential Reduction Algorithm,is used for solving the optimization problem.

本文利用二次规划方法，讨论对神经网络训练样本的吸引半径的优化问题，并借用二次规划中的PRA算法求该优化解，得到一种新的神经网络基于规划的学习算法。

Based on the advantages of simple construction and good property in PID and self-regulation and adaptivity of neural networks, a multivariable adaptive neural network controller with PID structure is created.

基于PID的简单结构和良好性能优势以及神经网络的自调节和自适应的特长，创建一种具有PID结构的多变量自适应的PID型神经网络控制器。

Based on the principle of BP neural network,a neural network model for predicting the properties of SBR compound was established by using the additional levels of several ingredients as the input variables and the corresponding tensile strengthes,elongations at break,tear strengthes and t90 as the output variables.

沈阳化工学院材料科学与工程学院，辽宁沈阳110142）摘要：根据BP神经网络原理，以SBR中的几种配料用量为输入变量，对应的胶料拉伸强度、拉断伸长率、撕裂强度和t90为输出变量，建立神经网络分析预报模型。

In the traditional neural networks based on gradient decline, nonlinear object functions with multiple extrema are easy to get stuck in the problem of local optimization solution. Therefore, a new method of chaos optimization neural network with weight learning is introduced in this paper.

针对传统的基于梯度下降法BP神经网络中存在非线性多极值目标函数易陷于局部最优解的问题，提出了一种权值学习混沌优化的神经网络方法。

This text aims at the difference of several representative geology conditions in Yang Shui mining area, carried on the primary election to the mining method of Yang Shui mining area, introduced the new theories of numerical optimization choice of mining method that are fuzzy mathematics and artificial neural network etc, based on the existing mining methods that are feasible, adopt the fuzzy optimization choice principle of flexible neural networks, and synthesize several experts and fieldworkers' opinion, built up the related mathematical model and revised model, carried on processing of programming through computer, thus established each optimization mining project under several representative geology conditions in Yang Shui mining area, and carried on optimizing to the existent unreasonable parameter in mining project;have the great significance to aim at each kind of geology condition for each mining area to adjust the mining method in time in the course of mining, abandon chronically unreasonable mining method, full reclaim the mine's resource, lower the dilution rate、 loss rate of mineral mining, raise the production capacity of stope and economic benefit of mine.

本文针对洋水矿区几种典型地质条件差异，对洋水矿区采矿方法进行了初选，介绍了模糊数学和人工神经网络等采矿方法数值优选新理论，在现有可行性采矿方法的基础上，采用弹性神经网络模糊优选原理，并综合多位专家及现场工作者的意见，建立了相关的数学模型及修正模型，通过计算机进行编程处理，从而确立了洋水矿区几种典型地质条件下各自的最优采矿方案，并针对采矿方案中存在的不合理参数进行了优化，为各矿区针对各类地质条件在采矿过程中及时调整采矿方法，摈弃习惯性的不合理采矿方法，充分回收矿山资源、降低矿石开采的贫化率、损失率，提高采场生产能力以及矿山经济效益具有重大意义。

The basic idea is to have an environment to easily train many neural networks in parallel,initialised with different weights, parameters or different architectures, so the user can find the best NN simply by selecting the fittest neural network after the training process.

最基本的方法是有一个环境，它能容易的训练许多神经网络，它们是平行的，以不同的权值。参数。或者不同的结构体系，这样一来用户就可以在训练过程结束以后简单的通过选择最合适的神经网络来得到最佳的。

The method of intelligent control based on neural network is applied in electrode current of arc furnace.The electrode current is analyzed and simulated by the BP and RBF models of neral network.

讨论了基于神经网络对电弧炉电极进行智能控制的方法，运用神经网络的BP、RBF以及双隐层BP模型，分别对电弧炉电极的单相电流及三相电流进行了分析和仿真。

Solveing to some extent problem to define hidden layer node number of feed forward networks,and makeing successfully it to apply to solve weierstrass theorem of that is polynomial approach continuous function;and establishing dynamic mathematical neural networks of Romberg integration.

从而在一定程度上解决了前向神经网络隐层结点数无法确定的难题，并成功地将其运用于解决用多项式逼近连续函数的魏尔斯特拉斯定理，并建立了龙贝格求定积分的动态数学神经网络模型。

In the paper, the author collected the data of the long rock-socketed piles in Hangzhou. It reduced input data serving the ANN utilizing Principal Component Analysis. The author has established the ANN-model about rock-socketed piles in Hangzhou and has improved on it (especially combined the G.A.).

本文收集了杭州地区嵌岩长桩试桩资料，利用主成分分析简化了神经网络输入单元数，建立了该地区此类桩型的人工神经网络模型，并对模型做了改进。

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。