查询词典 neural network

Standard neural network model is the interconnection of a linear dynamic system and a bounded static nonlinear operator, which is depicted as a linear differential inclusion to be analyzed easily with linear matrix inequalities technique.

标准神经网络模型(SNNM-Standard Neural Network Model)由一个线性动力学系统和有界激励函数构成的静态非线性算子连接而成，被表示为线性微分包含的形式，便于利用线性矩阵不等式技术进行分析。

To resolve the influence of uncertainty and nonlinearity on the high-precision turntable servo system, an inverse control method based on diagonal recurrent neural network is presented.

针对转台伺服系统中存在的不确定性和非线性因素，提出一种基于对角回归神经网络(diagonal recurrent neural network，DRNN)的逆控制方法。

In such doing, this dissertation serves as a step stone for papers of its counterparts to come, and, more importantly, it proposes a strategic alternative to the realization of models for image processing. This dissertation consists of three major parts. In the first part, detailed discussions and delicate analyses of academic papers on Cellular Neural Network will be provided in the hope of helping us see the potentiality of Cellular Neural Network in the applications of image processing. I will focus on the aforementioned limitations on hardware compilation as well. In the second part, I will put forth "texture analysis" as one basic model of analysis when we apply Cellular Neural Network to image processing. In this so-called texture analysis, a useful "spatial feature" is especially drawn to help us overcome possible problems of more complicated Cellular Neural Network applications in image processing."Spatial feature" also serves as a well-functioning mechanism for technology of image identification. In the last part of this thesis, I will look into a case study, where Cellular Neural Network is applied to help de-screen document image. Using it as an example, we will see how algorithms of Cellular Neural Network may be of marvelous use in applications in document image processing, since it would reduce a great deal of calculation and computation when applied to software compilation, yet opens up unlimited possibilities for higher-speed hardware compilation of high-level image processing.

这篇论文主要可以分为三大部分：在第一部份里，我们会详细地说明并讨论在过去到现在大部分将分子类神经网路应用於影像处理的相关文献及未来所有可能的发展和技术，另外也将分子类神经网路作一完整的介绍，除此之外，我们也会特别著重於分子类神经网路在影像处理相关应用理论的讨论以及其硬体实现化的考量；在第二部分里，我们提出了一个将分子类神经网路应用於影像辨识处理的基础分析—纹路分析，这是由於纹路分析的复杂性和普遍性会使得分子类神经网路於高阶影像处理的应用不会只局限在单一的影像处理技术，其中我们也提出了一个相当有用的空间特徵，此一特徵不但可以使复杂地高阶影像处理能够应用分子类神经网路，也为影像辨识技术提供了一个很好的辨识机制；在最后一部分里，我们也将文件影像分析做了一个完整的剖析，并以文件影像的去网点为例来说明在实际情况下的分子类神经网路的应用，如此演算法的开发也为文件影像处理提供了更多实际的应用，更考量了文件影像处理若以软体实现时的计算量负荷，而对未来高阶数位影像处理能够以硬体实现来提高处理速度提供了无限的可能。

The uniform approximation of normal wavelet neural network and the robust analysis of wavelet neural networks of the combination of Sigmoid function are detailedly introduction; Multiple model failure detection based on wavelet neural network is demonstrated detailedly; At last, the failure diagnosis results of aerocraft is present seperately by employing wavelet neural network and BP neural network, and the fault diagnosis of areocraft system by wavelet neural network is achieved.

论文以小波神经网络为研究对象，提出了一类新的加权小波基，分析证明了加权小波基的诸多良好特性；对于常见小波神经网络的一致逼近特性、S型函数组合小波神经网络的鲁棒性分析、多模型小波神经网络的故障检测等问题给出了详细的论证；最后，针对歼击机的常见故障问题，分别给出了应用小波神经网络和BP神经网络的故障诊断结果，实现了小波神经网络对飞机系统的故障诊断。

It establishes a cooperative system of energy saving and emission reduction deducing from appraisive system founded on three-dimensional combinatorial model, monitoring system grounded on SDSS and examinatorial system fixed on BP Neural Network, which provides necessary system info for energy saving and emission reduction.

认为建立基于三维组合模型的评价体系、基于SDSS的监测体系和基于BP Neural Network的考核体系基础上的节能减排协同体系研究是实现节能减排约束性指标的必要理论支撑。

However, it is difficult to interpret why ANN gives the conclusion. A novel coadjacent neural network model based on circuit architecture, named CArNN, is proposed. Ensemble of the CArNN was employed to analysis the sneak circuits existing in systems.

本文提出了一种基于电路结构的神经网络模型(Neural network model based on circuit architecture， CArNN)，将 CArNN 作为个体进行集成，形成神经网络集成用于潜在问题分析。

And Artificial Neural Network has the capacity of parallel managing the cosmical information, nonlinear mapping ability, high-degree error tolerance, self-suit and reasoning extensive capacity and other good characteristics.

而人工神经网络(Artificial Neural Network，简称ANN)具有大规模信息的并行处理能力、非线性映射能力、高度的容错和鲁棒性、自适应及推理泛化能力等优良特征。

We choose back-propagation neural network model for studying. In this paper we take RMR rockmass classification data set from the Fuder Tunnel for studying.

本文选择类神经网路中，倒传递类神经网路( Back-Propagation Neural Network )演算模式来进行研究。

IEPA was combined with neural network by the new algorithm, multi-layer feed-forward neural network structure was replaced with RBF neural network structure, and back propagation algorithm was replaced with IEPA, then, expected side-lobe suppression quota was rapidly waisted.

该算法将进化规划算法和神经网络结合起来，用径向基RBF神经网络结构取代多层前馈网络MFNN（Multilayer Feedforward Neural Nerworks）结构，用改进进化规划取代反向传播算法BP，可以以较大概率快速的收敛到要求的旁瓣抑制指标。

Some technical expressions: Hough transformation: Hough transform K average value: K-means fitting straight line: fitting line pattern plate match: template matching vertical and horizontal axis projection: vertical and horizontal projection BP neural network algorithm: BP neural networks most close neighbor sorter: K-NN

一些专业术语：Hough变换：Hough transform K均值：K-means 拟合直线：fitting line 模版匹配：template matching 垂直与水平投影法：vertical and horizontal projection BP神经网络算法：BP neural networks 最近邻分类器：K-NN --------- PS：Google翻译的就不用贴了

Neither the killing of Mr Zarqawi nor any breakthrough on the political front will stop the insurgency and the fratricidal murders in their tracks.

在对危险的南部地区访问时，他斥责什叶派民兵领导人对中央集权的挑衅行为。

In fact,I've got him on the satellite mobile right now.

实际上 我们已接通卫星可视电话了