查询词典 neural

Algorithm application of neural networks.Ⅲ Implementation of neuro-computers. The main contribution of the dissertation can be summarized as follows: 1 Hopf bifurcation of three kind of neural networks are discussed in detail, including type of discrete time delay, type of time delay with weak kernel and strong kernel as well as the proof of existence of bifurcation. Other problems such as asymptotic stability of bifurcation periodic solution, algorithm of determining the bifurcation direction, asymptotic stability and style of periodic solution are also studied. The average time delay is chosen as the bifurcation parameter, phenomena pertinent to system states of the continuous time delay network with strong kernel evolving from stable to oscillating, then back to stable again are observed.

论文的主要创新之处可以归纳如下： 1）针对目前国内外对神经网络的分岔研究较少的情况，论文中详细讨论了带离散时延神经网络、带弱核的连续时延神经网络、带连续分布时延且具有强核的神经网络的Hopf分岔现象，从理论上证明了Hopf分岔的存在性，并研究了分岔周期解的渐近稳定性，得到了确定周期解的渐近稳定性、分岔方向、周期解的渐近形式的算法；用平均时延作为分岔参数，发现带强核的连续时延神经网络中存在着系统的状态由稳定变化到振荡现象，当继续增加平均时延参数时，又从振荡变为稳定这一特殊的动力学现象。

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。

On the basis of sensitivity analyses using the PROSAIL model, the present study demonstrates an approach that uses a neural network based on image classification incorporated in PROSAIL for accurate retrieval of LAI. By including the soil reflectance index in the original PROSAIL model to take the place of soil background reflectance parameters that are difficult to determine, specific neural networks are constructed corresponding to individual types of vegetation cover.

在PROSAIL模型敏感性分析的基础上提出了一种基于影像分类的神经网络反演方法，引进了土壤反射指数用于替代原模型中难以确定的土壤背景反射参数，分别针对不同植被类型建立各自的神经网络，对经过大气纠正后的Landsat ETM+影像进行了模拟实验并同野外实测LAI数据进行比较。

The results of prediction agree well with the experimental ones. It proves that the thermo-mechanical analysis、the neural network models of flow stress and microstructure as well as the numerical simulation system developed combining coupled thermal-mechanical rigid-viscoplastic FEM with BP neural networks are reliable to describe the hot back extrusion process of Ti15-3 alloy truly. The simulation system has good prediction capacity for the microstructure evolution of Ti-15-3 alloy during hot backward extrusion and after solution treatment. It can be used to replace the experiments for predicting the flowing laws and the distribution of microstructure.

由此证明，本文的热力耦合理论分析、流变应力及显微组织的神经网络预测模型以及采用三维热力耦合刚粘塑性有限元与三层向后传播的人工神经网络相结合的方法开发的Ti-15-3合金筒形件热反挤成形的显微组织数值模拟系统是可靠的，能够真实地描述Ti-15-3合金热反挤工艺过程，并对其反挤成形及固溶处理后的显微组织具有很好的预测能力，可以被用来代替预测其反挤成形规律和组织分布情况的试验。

This dissertation deeply studied the theory of CMAC neural networks from learning convergence, generalization ability and the improving of the network model and algorithm, and studied the applications of CMAC neural networks in tank barbette control system combining the national defense research project"Control Algorithm Study of Tank Barbette System". These works are meaningful to enrich the architecture of CMAC theory and to improve the performance of tank gun control system.

本文着重从学习算法的收敛性、网络的泛化能力以及对算法和模型的改进等几个方面深入研究了CMAC神经网络理论，并结合国防95预研项目"坦克炮塔系统控制算法研究"对CMAC神经网络在坦克炮塔控制系统中的应用进行了研究，这些工作对于丰富CMAC神经网络的理论体系，提高坦克炮控系统的性能具有重要的意义。

By taking advantage of the modeling capacity of neural networks, the dependence on model of inverse system is reduced. Neural networks error model is used to estimate the uncertainty to decrease the error bound set in variable structure control.

围绕这两个目的，本文首先介绍了挠性结构发展的现状，以及所面临的主要控制问题和采用的主要控制方法，分析了各自的优势和存在的不足。

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。

Putt your way through 36 fun-filled holes of minigolf on 3D designed courses with elevated greens, bunkers, bridges and water hazards, among other crazy obstacles.

您的推杆方式，通过36个有趣的填孔迷你的三维设计的课程，以提升绿党，掩体，桥梁和水的危害，除其他疯狂的障碍。

Some participles can be used either as attributes or as predicatives.

有些分词既可当定语用，也可当表语用。