查询词典 neural

The work covers the control algorithm with neural network, the hardware realization of neural network and the design of distributed 3D animation real-time flight simulation system applied to attack helicopter.

内容涉及神经网络控制算法研究，神经网络的硬件实现及分布式武装直升机三维动画实时飞行仿真系统的设计等方面。

To sum up, main results of this study were listed as follows:(1) After analyzing the main factors affecting generalization function of neural network, and aiming at poor representativity of hydrologic time series samples, standardization method of transforming extreme was presented to deal with input sample of time series, which could make the input samples lie in the interpolation range of training samples even if they lie in the extension of training samples, so it improved generalization function of neural network and accelerates network convergence speed.

概括起来，本文取得的主要研究成果如下：(1)对影响神经网络泛化能力的主要原因进行了阐述，针对水文时间序列样本的代表性不好这一问题，提出了采用变最值的规范化方法处理时间序列输入样本，使神经网络的输入样本即使为训练样本的外延，规范化后也处于训练样本的内插范围，从而改善神经网络的泛化能力，并加快网络收敛速度。

This dissertation highlights neural network models and learning algorithms related, which are playing an equally important role in neural network research. The main results obtained are presented as follows: Reproducing kernel developed in different disciplines has become an importanttool in functional approximation.

神经网络模型和与之相适应的训练算法是本文研究的重点，它们在神经网络的研究中占有同样重要的位置，本文获得的主要结果如下：再生核源于不同学科分支，目前已成为函数逼近的重要工具。

Neural network has been widely used in nonlinear control systems in many fields as a novel method or measure. However, there are very few published studies dealing in neural network used in control of the locomotive and rolling stock.

神经网络作为一种新的方法和手段，已被广泛地应用于非线性系统的控制中，但在机车车辆的控制中的应用少有报道。

In this paper, the forecast model of scouring depth is conducted by neural network and BP neural networks.

利用神经网络和一些实测数据建立BP神经网络模型，进行冲刷深度的预测，用收集到的桥墩局部冲刷数据样本训练并测试BP神经网络模型。

Self-generating neural network is a self-organization neural network, whose network structures and parameters need not to be set by users, and its learning process needs no iteration.

自生成神经网络是一类自组织神经网络，它不需要用户指定网络结构和学习参数，而且不需要迭代学习，是一类特点突出的神经网络。

In Chapter 3 Firstly, the exponential stability in mean square and almost sure exponential stability for neutral stochstic neural networks with time-varying delay can be discussed by using the linear matrix inequality and the semimartingale convergence theorem; And our sufficient conditions are less conserative; Secondly, by utilizing the fixed point theorem, some sufficient and necessary conditions ensuring the asymp- totic stability in mean square for neutral stochastic neural networks with time-varying delays can be given.

第三章首先，利用线性矩阵不等式方法和半鞅收敛定理，考虑了一类具变时滞中立型随机神经网络的二阶矩指数稳定性和几乎必然指数稳定性，所得到的条件保守性要好；其次，采用不动点方法，给出了具变时滞中立型随机神经网络的二阶矩渐近稳定性的充要条件。

Department of Automation, University of Science and Technology of China, HeFei 230027）Abstract: This paper presents a method of neural network for interactive-force manipulator on the base of kinematics and analyses of the explosive force of human arm mode and neural network theory such as function approach, optimizing calculation. The method optimizes the whole servo-system, and ensures the system's robust.

中文摘要：本文根据关节机械臂的运动特性，在分析用于测试人体手臂运动爆发力机械臂模型设计的基础上，利用人工神经网络的函数逼近、最优化计算等方面理论，结合实际人－机力交互系统的控制特点，提出一种神经网络控制方法，对基于力控制策略的机械手伺服系统进行优化，同时保证了系统的鲁棒性。

In chapter 3, prediction theory of time series is reviewed, then non-linear autoregressive model of time series-feedforward neural networks is presented, at the same time a new method-SVD is proposed to design the architecture of feedforward neural networks. By using a trained network with a sufficient number of hidden nodes, according to the distribution of singular values of hidden nodes outputs, we can decide the optimum number of hidden nodes, then the reduced network will be retrained.

第三章：先回顾了时间序列的预测理论，提出了时间序列的非线性自回归模型-前馈神经网络模型，并提出了一种设计前馈神经网络的新方法-奇异值分解法，初始网络结构足够大，网络训练后，对网络隐层节点输出所形成的矩阵作奇异值分解，根据奇异值分布情况，决定网络隐层节点的个数，优化后的网络重新开始训练。

Feedforward neural networks of FEL control strategy was designed, using ADALINE neural networks, normalized LMS, plus characteristics of sinusoidal function.

利用ADALINE神经网络、归一化LMS算法、结合正弦函数的特点，设计FEL控制策略中的前馈神经网络。

Singer Leona Lewis and former Led Zeppelin guitarist Jimmy Page emerged as the bus transformed into a grass-covered carnival float, and the pair combined for a rendition of "Whole Lotta Love".

歌手leona刘易斯和前率领的飞艇的吉他手吉米页出现巴士转化为基层所涵盖的嘉年华花车，和一双合并为一移交&整个lotta爱&。

This is Kate, and that's Erin.

这是凯特，那个是爱朗。