查询词典 neural network

We use wavelet neural network to construct the nonlinear cointegration function, and give the DFP algorithm for network training.

提出了利用小波神经网络逼近非线性协整函数的方法，并给出了训练小波神经网络的变尺度算法。

A new and efficient learning algorithm of asociative memory neural network is proposed, with the following characteristics:(1)it can store any given training pattern set no matter how much and what correlation among them may be;(2)the smallest domain of attraction of training patterns is maximized;(3)each domain of attraction of training patterns is guaranteed to be as large as possible;(4)the designed associative memory network is globally stable.

摘要提出一种新的联想记忆网络模型的有效学习算法，它具有下述特点：(1)可以全部存储任意给定的训练模式集，即对于训练模式的数目和它们之间相关性的强弱没有限制；(2)最小的训练模型吸引域达到最大；(3)在(2)的基础上，每个训练模式具有尽可能大的吸引域；(4)联想记忆神经网络是全局稳定的。

Neural network method for solving generalized eigenvalue and eigenvector problems is discussed, including problems about the network model and its convergence.

讨论了广义特征根问题求解的神经网络方法，包括网络模型，稳定性问题等。

One fault diagnosis method for electromotor based on BP neural network was proposed,and the network structure was designed for this diagnosis system.

通过提出一种基于BP神经网络的电机故障检测方法，设计了适合该检测系统的网络结构。

During the training of the neural network, the influence, which is caused by the various network parameters, on the error function is discussed emphatically and the traditional BP algorithm is improved by importing the weight coefficient βand error function coefficient α.

在神经网络的训练过程中，在快速BP算法的基础上做了一些有效的改进，如：引入权值系数β，选取相应的误差函数系数α等。

Simulation results show the convergent speed of the improved network is much better than that of traditional neural network, and can effectively avoid local extremum.

仿真结果表明该改进网络收敛速度明显优于传统网络，能有效避免局部极值问题。

In the network method, the neural network with powerful function of approximation is used to get the continuous approximate function of the discrete fringe pattern.

在测量过程中，利用神经网络强大的函数逼近能力，得到离散条纹图的连续逼近函数，从中解出物体的相位分布信息，获得物体的三维面形分布。

In classifier 3, HAVNET is used as the first stage and a multilayer neural network as the second. HAVNET is a kind of binary pattern classifier, which employs Hausdorff distance as similarity metric. The network architecture is flexible enough to incorporate self-supervised learning, self-organization, and competitive learning as required by specific application.

HAVNET是以Hausdorff距离为相似性度量的二值模式分类器，其网络结构具有相当的灵活性，可以在训练过程中采用自监督、自组织和竞争学习，在网络中用独立的通道表示一个类别中的各子类别模式，该特性使HAVNET在实现模式识别任务时，具有较强的可行性。

Boltzmannn computer network is Hinton and others in 1985 will be simulated annealing primer access to the neural network, the n...

Boltzmannn机网络是Hinton等人在1985年将模拟退火算法引入到神经网络中，提出的，简称BM网络。

Furthermore, the advantages of the genetic algorithm and the above single layer neural network are combined to yield a new identification technique. The network topology is employed to replace the procedure for solving the governing equation when GA is used to identify the system parameters of both the SDOF system and the MDOF system with or without noise contamination. The comparison is made between the predicted acceleration and the measured one for each case.

另外，结合类神经网路与基因演算法於结构动力参数识别，首先应用前述之单层类神经网路架构做为系统动力模式，再藉由基因演算法搜索符合该系统之权重值，然后将权重值代入网路架构以取代解微分方程式求得系统反应，最后再与量测反应做比较；同时亦利用该方法应用於进行识别含杂讯之输出入资料的系统权重值，以验证该方法应用於单自由度线性系统及多自由度线性系统识别之可行性。

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。