查询词典 neural network

The neural network is used to identify a nonlinear system. Based on the resuIt of system identification, a neural controller of the nonlinear system can be obtained.

首先以类神经网路来描述系统动态特性，其次再利用此系统鉴定模式来设计一适当的类神经控制器。

But because of some bugs, they cannot be applied more widely. Base on these, a new control method called ""self-organized fuzzy control base on dynamic structure neural network ""is proposed in this article. It syncretizes the strongpoint of Fuzzy control and Neural Net control, and attain optimization control with the adjusting the number of the net's layer.

针对这种时变大时滞被控对象的特点，目前主要采用Smith、Dahlin和IMC控制，这些控制方法在某方面可能得到一定应用，但由于其本身存在某些缺陷，因此不可能得到广泛应用，笔者在此基础上提出了一种基于动态结构的神经网络自组织模糊控制，它融合了神经网络和模糊控制的优点，并能通过在线调整网络的层数以达到最优控制的效果。

Moreover, the radius of attraction of memorized sample patterns is presented. A Hybrid neural network model for pattern recognition is presented. The model consists of a cascade connection of three neural networks, which are hetero—associative NN、2—D local—connected NN and classification NN respectively.

提出了一种适于模式识别的复合神经网络，它由三个小网：异联想记忆网、局域连接神经网和分类网级联而成，其输入为模式的二维自相关系数，输出为预定的编码，此网可以有效地进行平移不变模式识别，且有很好的容错性和抗噪声能力。

To the question of predication in the stock market,I study some informations about data minging predication model of stock price based on neural network.I put forward to do attribute relativity analysis for inputing index variables and outputing object variables with the theory of attribute relativity analysis in the course of designing a neural networ predication model.

本文针对股市预测分析问题，对基于神经网络股市预测的数据挖掘模型进行了研究，提出在模型设计中，采用属性相关性分析理论对输入指标变量和目标变量作必要的相关性分析，以此优选输入变量组合，从而提高网络的预测性能。

Neural network learning process example procedure, a very good example of a document that contains five kinds of neural networks.

详细说明：神经网络学习过程的实例程序，非常好的实例文件，包含五种神经网络。

So two phase checking algorithm based on BP neural network is presented to realize attributes matching,in which attributes are re- quired to be categorized according to data types,and the BP neural networks are trained several times respectively using the categorized attributes,and the final attributes matching resuits are the intersection of every time matching results.

该算法能有效地消除不一致信息的干扰，降低神经网络的规模，并且可以实现不同数据类型的属性集之间属性匹配过程的并行计算。实验结果显示本文提出的方法能明显地提高系统的运行效率、属性匹配的查准率和查全率。

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。

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。

For a big chunk of credit-card losses; the number of filings (and thus charge-off rates) would be rising again, whether

年美国个人破产法的一个改动使得破产登记急速下降，而后引起了信用卡大规模的亏损。

Eph. 4:23 And that you be renewed in the spirit of your mind

弗四23 而在你们心思的灵里得以更新