查询词典 neural network

The adaptive learning of neural network can fulfill the minimum absolute deviation criteria, so this dissertation puts forward the algorithm that can be implemented by the neural network.

利用神经网络的自适应学习特性和在处理非线性问题时能够满足最小绝对偏差准则的性质，给出了该算法的神经网络实现方法。

Nonlinear function approximation using BP neural network and RBF neural network is simulated.

最后，作了用BP网络和RBF网络逼近非线性函数的仿真研究，并作了比较。

The approximation theorem of the rough neural network is proved. Then the method is applied to the fault verification of fighter plane, the simulation results show that the rough neural network is efficient.

最后将此方法应用于歼击机的故障认定系统，仿真结果表示，此粗糙神经网络可以很好地对具有区间数的歼击机故障认定系统进行故障认定。

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。

Three main environmental factors——traffic,rainfall,temperature,which can lead to the direct change of pavement performance are used as the input layer of neural network.The performance indexes of asphaltum concrete pavement,i.e.dilapidation rate,smoothness,deflection,friction coefficient are used as output layer.The relation between environment factor and pavement performance is acquired by introducing the module of BP Neural Network in MATLAB.

阐述了应用BP神经网络进行沥青混凝土路面使用性能预测的可行性，以环境因素，即交通量、降雨量、温度等3个直接使路面性能发生变化的主要因素作为BP神经网络的输入层，以沥青混凝土路面的破损率、平整度、弯沉值、摩擦系数等4项性能指标作为输出层，采用MATLAB语言中的BP神经网络模块进行自学习，得出环境因素与路面使用性能之间的关系。

The second chapter discusses the stability of the continuous recurrent neural network and presents a new analysis method. The idea of the method is that"the continuous recurrent neural network is said to be absolutely stable, if it has only an asymptotic stable equilibrium point".

文中对连续回归网络的稳定性进行了研究，提出了一种新的分析方法，其基本思想在于"如果一个回归网络只有一个渐近稳定的平衡点，则网络绝对稳定"。

An augmented matrix is therefore given, of which the number of dimensions is determined by adding the observed data for l time past together, and the forecast data after augmentation are taken as the input variables in BP neural network. Then, a forecasting model is developed on the basis of DPCA-BP neural network, with its architecture described.

通过计算前l时刻数据确定增广矩阵的维数，并把得到增广后的预测数据作为BP神经网络的输入变量，建立了基于DPCA-BP神经网络的预测模型，给出了模型结构。

People have proposed many different control method to realize the chaos synchronization. This article has conducted the thorough research to the chaotic neural network, introduced the chaos neural network synchronization method. Based on the linear matrix inequality technology and Lyapunov stability theory, we have Studied the synchronized controller design method of the global synchronization, the non-linear global synchronization and the global exponential synchronization. Here we have proposed one kind of synchronization algorithm, through which might obtain the gain matrix quickly and automatize.

本文对混沌神经网络进行了深入的研究，介绍了混沌神经网络同步方法的发展及研究现状，基于线性矩阵不等式技术和李雅普诺夫稳定性理论，分别研究了全局同步、非线性全局同步和全局指数同步的同步控制器实现方法，提出了一种实现混沌神经网络同步的算法，通过该算法可以快速得到增益矩阵的形式，实现混沌系统的同步控制，数值仿真验证了算法的有效性。

The main reason for using neural network in time series analysis and system identification is that a trained neural network has the capability to approximate a arbitrary bounded continuous function.

在时间序列分析和系统辨识中，利用神经网络的一个主要原因就是前向神经网络逼近任意连续有界函数的能力。

A novel neural network model, named delayed standard neural network model, is proposed, which is the interconnection of a linear dynamic system and a bounded static delayed nonlinear operator.

摘要提出一种新的神经网络模型---时滞标准神经网络模型，它由线性动力学系统和有界静态时滞非线性算子连接而成。

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。