人们曾经指望网络广告的指数级增长能拔出石中剑。
The hope had been that exponential growth in online advertising would bring that sword out of the stone.
一个较好的统计来源是思科于6月1日发布的年度视觉网络指数。
One of the better sources is Cisco's annual Visual Networking Index, which was published on June 1st.
随着连接到网络中设备数目的增加，它们之间可能的连接数则以指数方式增长。
As the number of connected devices in any network increases. the number of possible connections between them grows exponentially.
最好的说明是梅特卡夫定律：网络标准的价值随连接的节点数增加呈指数增长。
This is best stated by Metcalfe's Law: the value of a network standard grows exponentially with the number of nodes connected to it.
因为网络能快速地收集数据，他们的指数有时能在官方的统计之前证明趋势。
Because web businesses gather data rapidly, their indicators can sometimes identify trends before official statistics.
全球非传染病网络还重点关注四项生理风险因素：高血压，高胆固醇，高血糖，以及高身体质量指数。
NCDnet also focuses on four biological risk factors: raised blood pressure, raised cholesterol, raised blood sugar, and a high body mass index.
但他指出，恒生指数的估值(市盈率大约21倍)依然低于美国股市在网络泡沫时期的峰值水平。
But he noted that the Hang Seng's valuation? With prices around 21 times earnings? Was still well below the heights hit by US stocks in the dotcom boom.
摘要研究了具反应扩散有限连续分布细胞神经网络的平衡点的存在性及全局指数稳定性问题。
The existence of the equilibrium point and global exponential stability of distributed delays neural networks with reaction-diffusion terms are investigated in this paper.
通过指数法和人工神经网络方法的联合应用，相互比较得到科学、准确的风险评价结果。
Through the union application of the index method and artificial neural network method, relatively received science, accurate result of appraisal of risk each other.
利用异步动态系统的相关结论，给出网络控制系统指数稳定的充分条件。
The sufficient condition to the exponential stability of the networked control system is derived from the conclusion of the ADSs.
并证明了该最优输出反馈控制律可使网络控制系统均方指数稳定。
The paper proves that optimal controllers can stabilize the exponentially mean square of networked control systems.
以人工神经网络的前馈型网络为基础结构，基于反向传播算法进行学习和训练来拟和证券价格指数的运动趋势。
In this model, back propagation algorithm based on forward networks was conducted to learn information of historical data and to train the network weights.
具体如回归预测法、指数平滑法、灰色模型预测法、BP神经网络法、RBF神经网络法。
Such as the return of specific prediction method, smoothing index, grey model prediction, BP neural network, RBF neural network .
换句话说，网络中的节点数按照算术法则提升，而网络的价值则按照指数法则提升。
In other words, as the number of nodes in a network increases arithmetically, the value of the network increases exponentially.
Marshall以Facebook的全球幸福指数(Global Happiness Index)为例，说明公司可以在即时网络数据基础上进行产品开发。
Marshall pointed to Facebook's Global Happiness Index as an example for the kind of product companies can develop based on data created on the real-time web.
注意到知识是如何随着网络和实验呈指数一般地增长！
Notice how the knowledge is now growing exponentially with networking and experimentation!
在算法库中，除了部分的常规预测算法，如滑动平均、指数平滑、线性回归等，还加入了BP神经网络算法进行预测。
In the arithmetic base, besides some general predict algorithm as glide average, exponential smoothness, linearity regress, etc, it adds BP neural network algorithm for forecast.
本文讨论了一类脉冲神经网络的周期解的指数稳定性。
This paper discusses the exponential stability of periodic solution for impulsive neural networks.
本文研究了一类具偏李·普希兹连续和单调增加激活函数的神经网络绝对指数稳定性问题。
This paper investigates the absolute exponential stability of generalized neural networks with a general class of partially Lipschitz continuous and monotone increasing activation functions.
结果证明：根据试验数据建立的模型与假设的指数神经网络模型很吻合，证明了方法的可行性。
Result shows that the model established agrees with the assumptive exponential model based on the nerve network theory and the feasibility of the method is prove.
对时变时延多包传输网络控制系统的指数稳定性和控制器设计问题进行研究。
Exponential stability and controller design problems for networked control system (NCS) with time-varying delay and multiple-packet transmission were studied.
讨论了混合时滞区间神经网络的全局鲁棒指数稳定性。
The global robust exponential stability is investigated for interval neural networks with mixed delay.
并且由此定理获得该类网络全局指数稳定的几个判据。
Some new criteria on globally exponential stability of the networks are obtained.
研究了离散时间神经网络的全局指数稳定性问题。
In this paper, the global exponential stability of discrete-time neural networks is discussed.
利用适当的李亚普若夫泛函，研究了时滞分流抑制型细胞神经网络的周期解的指数稳定性。
By means of suitable Lyapunov functionals, the exponential stability of periodic solutions for shunting inhibitory cellular neural networks(SICNNs)with delays and variable coefficients is studied.
研究了一类随机变时滞递归神经网络的几乎指数稳定性问题。
The almost surely exponential stability of stochastic recurrent neural networks with time-varying delays is investigated.
研究了一类随机变时滞递归神经网络的几乎指数稳定性问题。
The almost surely exponential stability of stochastic recurrent neural networks with time-varying delays is investigated.
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