神经网络

The precision of criticality analysis is improved, and can be a support for characteristic parameters extraction in condition evaluation.

对于具有较多状态特征参数的系统，提出了基于主成分分析的神经网络状态预测模型，通过降低神经网络的输入维数，提高了预测的速度和精度。

In this paper,adaptive control approach of cupola based on neural network is brought forward and neural network as identification and controller is used to implement the self-adaption control of temperature of cupola molten iron.

提出了一种基于神经网络的冲天炉自适应控制方法，利用神经网络作为辨识器和控制器，实现对冲天炉熔炼过程中铁液温度的自适应控制。

This algorithm mainly includes two stages: First a group of solutions were obtained which approximate the global optimum through cursorily adjusting the genetic algorithm.

针对遗传算法与神经网络结合方式中存在的早熟收敛、泛化能力弱等问题，提出一种交替使用遗传算法和玩Levenberg-Marquardt算法优化神经网络的混合学习算法。

This paper used Elman neural network to establish the model of irrigation water use prediction, having four importing units and exporting units. The determination of concealed level neural single number used the cut-and-try method, ten units were used.

运用神经网络中Elman反馈型神经网络建立了灌溉用水量预测模型，模型输入层神经元数目为4，输出层神经元数目为1，隐含层神经元数目确定采用试验法，最终确定为10。

This paper has given a thorough investigation into theapplication of BP neural network to gravitational density interface inversion as well as the implementation of wavelet theory in potential field decomposition and, on such a basis, analysed and evaluated the prospect of applying wavelet neural network to the inversion of gravitational and magnetic data.

文摘：对BP神经网络在重力密度界面反演以及小波分析在位场分离上的应用进行了深入的研究，进而对小波神经网络在重磁资料反演中的应用前景进行了分析、评价。

First of all, the FEE project risk identification model based on feature map has been built, which is object-oriented and uses four main methods: direct mapping, project mapping, discrete decomposition mapping, and group mapping to identify the FEE project risk more completely, more scientifically and more efficiently.

在风险评判的过程中，研究利用人工神经网络技术和模糊系统理论，构建了基于"BP神经网络-模糊系统"串联模式的林业生态工程项目风险综合评判模型，从而有效地解决了项目风险的复杂性和非线性带来的多指标综合评价难题，并使用"相对属于"的概念使得风险等级的评判结果更加趋于合理。

A practical cooling regime was established then, and a network with better performances was obtained by combining simulated annealing algorithm with gradient descent method.

将模拟退火算法与传统的梯度下降法结合，用于人工神经网络的优化与预测，得到了预测效果等与迭代时间性能更好的神经网络。

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。

Thirdly, in order to improve the learning efficiency and stability of feedforward neural network, a fast learning algorithm for neural networks based on CGM-OC approach is presented. Compared with other learning methods such as BP method, Broyden Flecher Goldfarl Shanno method and Powell method in which the derivative is replaced by the difference quotient etc, simulation results show that the proposed method is an efficient and fast one.

第三，为了提高前馈神经网络权值的学习效率及稳定性，提出一种基于正交校正共轭梯度优化方法的神经网络学习算法，通过与其它学习算法（如：BP算法、变尺度法、用差商近似代替导数的Powell法等）的比较，经仿真试验表明，本算法是一种高效、快速的学习算法。

The initialized parameters of neural networks are selected, which is directed by rough set theory, and the networks are trained by using a probability-based BP algorithm, which minimizes system errors.

首先，利用粗糙集理论对神经网络初始化参数的选择和确定进行指导，赋予各参数相关的物理意义；然后，以系统输出误差最小化为目标对粗糙神经网络进行训练，使其满足性能要求。

We have no common name for a mime of Sophron or Xenarchus and a Socratic Conversation; and we should still be without one even if the imitation in the two instances were in trimeters or elegiacs or some other kind of verse--though it is the way with people to tack on 'poet' to the name of a metre, and talk of elegiac-poets and epic-poets, thinking that they call them poets not by reason of the imitative nature of their work, but indiscriminately by reason of the metre they write in.

索夫农 、森那库斯和苏格拉底式的对话采用的模仿没有一个公共的名称；三音步诗、挽歌体或其他类型的诗的模仿也没有——人们把&诗人&这一名词和格律名称结合到一起，称之为挽歌体诗人或者史诗诗人，他们被称为诗人，似乎只是因为遵守格律写作，而非他们作品的模仿本质。

The relationship between communicative competence and grammar teaching should be that of the ends and the means.

交际能力和语法的关系应该是目标与途径的关系。