神经网络

In this paper combined with practical works the bearing capacity of composite foundation of deep-mixing piles in adamic earth region is studied based upon BP network.

指出BP神经网络是一种旨在模仿人脑结构及其功能的信息处理系统，根据收集的工程实例，应用BP神经网络对红粘土地区深层搅拌桩复合地基的承载力进行了研究，分析探讨了各主要因素对地基承载力的影响，为其进一步的研究奠定了基础。

A kind of on-line gradient learning algorithms based on signal flow graphs isproposed for neural networks on-line training. The signal flow graph and adjoint one of aneural network are used to compute the its gradients.

对于动态神经网络在线学习而言，该算法避免了传统梯度计算中复杂的链式求导过程，利用神经网络的信号流图及其线性的伴随流图，可以直接计算任何变量的梯度信息。

But the building safety incidents' reasons are complex, the qualitative analysis is easy, the quantitative analysis is difficult, the common forecast model is tendency analytic method, return analytic method, index smoothing procedures and so on.

论文《灰色理论及神经网络在建筑伤亡事故预测中的应用研究》以1994-2007年全国建筑业死亡人数为基础数据，建立了灰色预测模型和BP神经网络预测模型，对2008的建筑业死亡人数进行预测。

One of the hot research issues of NN is to research into its capability of non-linear approximation.

神经网络的非线性逼近能力的研究是神经网络研究中的一个热点问题。

Methods The relationship of dynamic model′s input and output was analyzed and a basic structure of system identification model based on the principle of optimization in model reduction and the property of a function approximator to be composed of feed-forward networks was presented.

分析了控制系统动态模型的输入、输出关系，依据模型等效的最优化原理和神经网络任意逼近有限不连续函数的性质，提出神经网络辨识模型的基本结构。

The characteristics of B|spline basis function is first discussed, based on which B|spline neural network is proved to be a universal approximator.

1引言对于一个给定的非线性函数，我们都知道用神经网络可以以任意的精度来逼近它，原因就是神经网络是全局逼近器［1］。

The procedures of determining confined aquifer parameters by BP neural network were introduced...

为说明BP神经网络求含水层参数的原理，本文以文献数据给出了基于非稳定流抽水试验的BP神经网络求承压含水层参数的过程。

This paper discusses the development situation of artificial neural network, and the neural network control theory.

本文首先论述了人工神经网络的发展概况和神经网络的控制理论。

By analyzing the distribution of the zeros to the transcendental characteristic equation associated with the trivial.solution,we obtain some- sufficient conditions on the stability and instability of the trivial solution.These results are generalized to n-unit neural networks by means of space decomposition in this Chapter.

在第二章中，我们讨论了不带自反馈与带自反馈的3元环状神经网络系统平凡解所对应超越特征方程的根的分布情况，确定了系统平凡解稳定与不稳定的充分条件，并利用空间分解的方法把相应的结果推广到n元环状神经网络系统。

This dissertation shows each unstable asymptotic equilibrium point is just the pattern that refuses to be recognized by combining the idea about constraint and projection with the continuous network LSSM and the discrete network BSB, eliminates some shortcomings of LSSM and BSB in the distribution of attraction domain. LSSM and BSB are then improved to be ideal associative memory and can be implemented by circuit.

将约束投影思想与连续神经网络LSSM和离散神经网络BSB相结合，说明了不渐近稳定的平衡点恰是实际中拒识模式，根除了LSSM和BSB在吸引域分布等方面的一些缺点，将它们完善成为理想的联想记忆器，并且它可用电路实现。

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。