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Several strong results on neural network approximation capability obtained in this dissertation are important in the approximation theory and applications of neural networks.

本文系统地研究了多层神经网络的非线性逼近能力,给出了多层网络可一致逼近有限维空间R〓紧集上的连续函数、无穷维函数空间紧集上的连续泛函和连续算子以及布尔函数的理论证明。

Neural networks is viewed as a universal approximator for nonlinear functions, but there are some fatal bugs with it, so it is necessary to find another method more right for neutralization process.

神经网络是目前中和过程非线性系统建模中常用的一种建模方法,但本身具有一些难以克服的缺陷降低了它的发展和应用效果,因此寻求更适于中和过程非线性系统建立模型的理论及方法是十分必要的。

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。

One of the key issues in the design of fault diagnosis scheme is the effect of modelling uncertainties and disturbances. By using neural networks observer or approximator, the fault detection and diagnosis strategy for a class of nonlinear systems with modelling uncertainties are investigated.

而非线性系统故障诊断算法的鲁棒性则是一个极其关键的问题,本文主要针对非线性系统,进行了基于神经网络的鲁棒故障诊断方法研究。

RBF networks have several following advantages: being a best universal approximator, having rapid learning speed and a compact topological structure.

径向基函数网络被认为是通用的函数逼近子并具有快速的学习能力和紧致的拓扑结构等优点。

The experimental results show that in both the learning speed and correction of character recognition, the Levenberg-Marquardt Back-Propagation Neural Networks in recognition of the capital English characters and the Arabic numbers is the best approach.

从实验结果得知,无论是学习速率或字元判别的正确率,都是Levenberg-Marquardt倒传递类神经网路在辨识英数字元影像上为最佳。

Usually, distribution networks operate in arborescence mode, so in the simulation of fault analysis the impact of faulty switch element on system reliability is apportioned to failure consequences of adjacent sections that connect to switch, and then an equivalent analytical model considering switch fault is proposed. Thus, not having to conduct the reliability analysis of switch element singly, the impact of switch element fault on system reliability can be calculated. Applying the proposed algorithm in RBTS-BDS6 system, RBTS-BUS4 system and actual medium-voltage distribution network to conduct reliability assessment, the results show that the proposed algorithm is superior in speed and possesses efficiency and engineering practicality.

配电网常具有树状运行特点,在故障解析模拟时,将开关元件故障对系统可靠性的影响分摊到连接开关的相邻分块的故障后果中,进而提出计及开关故障的可靠性等值解析模型,不需单独进行开关元件故障的可靠性分析即可计算其对系统可靠性的影响,应用该算法对RBTS-BUS6和RBTS-BUS4系统及实际中压配电网进行了可靠性评估,结果表明该算法有较明显的速度优势,具有高效性和工程实用性。

The role of ASIC channel in dendritic development in hippocampai neuron Regulated growth and arborization of dendritic processes are critical to the formation of functional neuronal networks.However,the role of ASICs in dendritic development is still elusive.

酸敏感离子通道在海马神经元树突发育中的作用树突的生长和分支对功能性神经网络的形成非常重要,然而有关ASICs在树突发育中的作用则鲜有报道。

Our results showed that the total dendrite branch length and arborization of hippocampal neuron were not affected by the inhibition of ASICs for a short time, while the total dendrite branch length was reduced and dendrite development was impaired if ASICs were inhibited for a long time.It suggested that ASICs play a role in the dendrite development,which may help understand how ASICs affect the formation of neuronal networks and participate in higher brain fuctions such as learning and memory.

结果发现短时间抑制ASICs的功能并不影响海马神经元的树突总长度和分支,而长时间抑制ASICs的功能则会降低树突总长度,影响树突的发育,表明ASICs参与调节树突的发育,这将有助于理解酸敏感离子通道如何影响神经网络的形成,并进而参与学习记忆等高级脑功能。

This paper conducts a detailed discussion on the implementation of arithmetic mean value query processing in wireless sensor networks.

本文针对无线传感器网络数据查询处理中的平均值查询算法实现作了详细的讨论。

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从鲍尔点的形成原理出发,分析对称连杆曲线上鲍尔点的产生条件,提出等边机构的对称连杆曲线上有单鲍尔点和双鲍尔点。

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血精的原因很,以良性病变为主。