网络函数

So the ultra-low frequency absolute vibration detection is a difficult problem in engineering measurement field. In this paper, the ""high-frequency-suppression and low-frequency-lifting"" compensation method was presented based on the analysis of the inertial sensor with "" mkc "" structure.

本文通过对mkc结构惯性式传感器机理的分析，提出了一种对传感器传递函数进行"抑高扬低"的补偿方法，并对此补偿网络和系统幅频特性进行了优化，较好地克服了惯性式传感器低频特性差的固有缺陷，实现了传感器的微型化。

Selection of a good activation function is an important part of the design of a neural network.

一个良好的激活函数的选择是对的神经网络设计的重要组成部分。

The Address Collision problem during mapping in CMAC is studied with the help of Probability theory.

从函数逼近论的角度，讨论了神经网络应用于辨识与控制的基本方式，提出了今后该研究领域所面临的主要问题。

In order to decrease the calculation in the control law of the GPC, a neural network inversing controller with multi-step-ahead cost function is introduced.

针对基于神经网络预测模型的广义预测控制算法控制量计算中存在的计算量大的问题，提出了多步预测性能指标函数下的神经网络逆控制方法。

At the same time, the anti-attack ability of the system is also improved. Even if some analysis module cannot work, it does not affect other modules. The packet capture module is the base of entire system. At present, most NIDS develop their packet capture module based on libpcap library whose windows edition is winpcap. Allowing for capturing efficiency and self-determined intellectual property and cooperation of each module, we program protocol driver to capture packets. By following methods such as filter in driver and decrease packet copies between user mode and kernel mode, we enhance the capturing efficiency.

网络数据包采集模块是整个系统高效工作的基础，目前国内外的大多数网络入侵检测系统的数据采集模块，都是利用libpcap提供的函数库来实现，其在Windows下的版本为winpcap，考虑到采集效率、自主知识产权、采集模块与系统其他模块的配合等因素，我们采用自己编写协议驱动程序来采集数据包，并通过在驱动程序中实施过滤、减少数据包在用户态空间和核心态空间之间拷贝的次数等方法，提高采集的效率。

To model and compensate the magnetic heading error of the magnetic compass system which in a carrier with some pitch angle or roll angle,a new deviation compensation algorithm based on RBF neural network is presented.A BP neural network has been developed to solve the same problem for comparison.

针对具有一定俯仰角或横滚角的磁罗盘系统磁航向误差建模和补偿问题，提出了基于径向基函数神经网络的修正方法，并与BP神经网络方法进行了比较。

The sample BRDF curves variating with the scatter angle under several incident angles are given, and some of the curves were selected and sent into the artificial neural network. The network was trained with the Bayesian regularizing method. The mapping relation model of BRDF with incident and scatter angles was obtained.

给出测量样品多个入射角度下的BRDF随散射角变化的曲线，从中选取部分曲线输入到神经网络，使用贝叶斯正则化方法训练网络，最终获取双向反射分布函数和入射角、散射角的映射关系模型。

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。

A radial basis function neural network, as well as a back propagation neural network for comparison, is trained and tested using 23 series of centrifuge model test data, 2 fullscale test data, and prototype date of a practical project.

收集23组挡墙离心模型试验数据，2组足尺试验数据，1组实际工程的破坏数据，共26组样本作为训练及检验样本，建立了可用于加筋挡墙设计高度预测的径向基函数网络及误差反传网络模型。

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。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。