如果能够从这些文档中提取出嵌入其中的隐式元数据，而不要求作者在文档之外添加显式元数据，那么就能够得到更多更好的元数据。
If they can extract the implicit metadata embedded in the documents rather than ask authors to add explicit metadata outside the documents, they can get both more and better metadata.
作为引子，你们可能已经知道了，一元微积分里面的一个小把戏，也就是求隐函数微分法。
And, just to motivate that, let me remind you about one trick that you probably know from single variable calculus, namely implicit differentiation.
还需注意，这种push方法还可以轻易集成一个隐写模块，以隐藏其他数据内部的神经元交互。
Also note that this push method can very easily be integrated with a steganography module to conceal neuron interactions inside other data.
隐层神经元完成对过程序输入信息的模式匹配和对时间的聚合运算，输出层对输入模式作出响应。
The neurons of hidden layer perform the pattern matching of process input information and aggregation operation of time and respond to the input patterns.
隐层神经元的数量决定了网络的性能，而性能得到最优需要反复实验和多次错误的尝试。
The number of hidden neurons must be determined so that the network performs its best, one of the methods used often is trial and error.
局部隐式有限元法是在一般有限元法的基础上，兼容了TVD差分格式和有限体积法的某些特点，形成的一种新型算法。
A new algorithm, locally twitch finite element method is developed on the base of the general finite element method, mixed with total-variation-diminishing (TVD) scheme and the finite volume method.
三角剖分是有限元网格划分的重要工具之一。本文将这一方法应用于装配图的消隐之中，并介绍其原理及实现步骤。
Triangulation is an important way of finite element mesh generation. In this paper, this way is introduced into hiding assembly drawing, the relating theory and steps are also discussed.
用于板材成形模拟的有限元方程的求解方法主要有隐式积分和显式积分两种。
There are implicit integration and explicit integration methods to solve the finite element formulations for plate forming simulation.
针对单隐层感知器的硬件设计进行了计算机仿真，得到了满足设计要求的隐层神经元个数和量化比特数。
For multilayer perceptron with single hidden layer, the computer simulation is done to get the number of hidden neurons and quantization bit which satisfy the design requirement.
以往的BP算法调节神经元网络的权值，其网络的隐层结点数、网络学习快慢程度及网络的泛化能力都与网络的激励函数有关的。
BP algorithm is often used to correct weights of neural network because number of hidden nodes, studying speed and generation ability of neural network are related to activation function.
认为局部隐式有限元法是一种绝对稳定的方法，且具有快速收敛的性质，是求解非线性偏微分方程的一种有效的数值算法。
Locally implicit finite element method is a satisfactory numerical method to solve non-linear partial differential equations for its unconditional stability and its high rate of convergence.
新算法选择很广一类的隐层神经元函数，可以直接求得全局最小点，不存在BP算法的局部极小、收敛速度慢等问题。
The algorithm can get global minimum easily with a wide variety of functions of hidden neurons, and no problems such as local minima and slow rate of convergence are suffered like BP algorithm.
建立了基于欧拉方法描述树脂传递模塑(rtm)工艺充模过程的基本数学方程，并采用有限元隐式时间积分方法对基本方程进行了数值求解。
A mathematical equation described by Euler method for simulating RTM process is established, and a finite element method with implicit time integration is used to solve this equation.
本文提出了用于岩土弹塑性有限元分析的隐式积分弹性刚度算法。
An implicit integration elastic stiffness method has been developed for the finite element analysis of rock and soil elastoplastic models.
不同于传统的MOP解决方案，本文只提供了缺省的隐式元接口，由编程人员完全定制自己的元对象接口。
Different to traditional MOP, we only present the default implicit meta-interface, and programmers can entirely control their own meta-object interfaces.
教育政策主体价值依次表现为元价值、隐价值和显价值三重形态。
The value of educational policy subject is realized in three forms of meta-value, implicit value and explicit value.
与其它的AN N建模相比较，用CNN建立的模型的隐层神经元数量少，系统的泛化能力强。
Compare to other ANN modeling, the neuron number of the CNN hidden layer is few, and the ability of generalization of the CNN system is well.
在该方案中，通过梯度法获取隐层神经元的输入，使用线性最小二乘法训练各神经元的权值和阈值。
In this scheme, the inputs of hidden layer neurons are acquired by using the gradient descent method, and the weights and threshold of each neuron are trained using the linear least square method.
和更新元艳萨谦的是隐在要么不恐怖！
And the updated Elemental shaman ones aren't terrible now either!
基于小波神经网络，文中提出了可变尺度小波神经网络，可减少隐层神经元数目，精简网络结构。
Based on the wavelet neural network, this paper proposes a new network named varying scales wavelet neural network to reduce wavelet-neuron Numbers and simplify network structure.
R BF神经网络的隐层神经元的作用可解释成从非线性可分空间向线性可分空间映射的函数。
The role of hidden layer neurons of a RBF neural network can be interpreted as a function which maps input patterns from a nonlinear separable space to a linear separable space.
本文在使用BP神经网络对自相关过程进行监控的基础之上，对隐层神经元数对于神经网络训练收敛性及识别率的影响进行分析研究。
In this research, various number of hidden nodes of neural network is studied to improve the training result and identification capability of BP neural network.
提出一类基于基函数展开的双隐层过程神经元网络模型。
A class of process neural network model with two hidden-layer based on expansion of basis function is brought forward.
论证了两曲面的交线为空间曲线，其方程为一元四次隐函数关系式；
It is proved that the intersecting line of the two curved surface is space curve, and the equation is quartic implicit function with one unknown.
因此本文在对滚动轴承有限元隐式求解分析的基础上，利用ANSYS/LS-DYNA模块对滚动轴承进行了显式动力学接触分析。
Therefore, based on rolling bearing implicit finite element solution analysis, using ANSYS/LS-DYNA explicit dynamic module implements, we achieved the rolling contact simulation of motion process.
设计中存在的主要问题包括隐层神经元数、中心和半径的确定，以及网络权值的训练。
The main problems in designing a RBFNN depend on fixing the nodes of the hidden layer, the parameters of the centers and the linear weights.
该方法通过选择径向基函数中心、确定神经网络隐层神经元的数目和调整每一层的权值和阈值，对由于PSD非线性产生的误差进行修正。
The nonlinear error of PSD was modified by choosing the centre of RBF, ascertaining the number of neural cell of the neural network and adjusting the weight and the threshold of each hiberarchy.
欧文。该隐依赖呼吸器，他努力做出即使是最轻微的动作-他自幼患上了一种使人衰弱的运动神经元疾病。
OWEN CAIN depends on a respirator and struggles to make even the slightest movements - he has had a debilitating motor-neuron disease since infancy.
隐式锚杆单元隐含在岩体单元中，极大地简化有限元模型划分。
The implicit bolt elements are combined in the elements of rock mass, so the mesh generation is extremely simplified.
首先在引理中得出了隐非齐次马尔可夫模型的一些性质，从而导出了隐非齐次马尔可夫模型的三元函数一类平均值的强极限定理。
At first some properties on nonhomogeneous Markov models are obtained in the lemma, then a limit theorem for the average of the three variables function of hidden nonhomogeneous Markov model is given.
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