English translation for "激活函数"

activation function

Related Translations:

酶激活:  enzymes activation

激活质:  activator

激活电子:  active electron

激活抗原:  activation antigen

转录激活:  transcriptional activation

激活粒子:  active population

再激活:  reactivatereactivation

主激活剂:  dominant activator

补体激活:  complement acdtivationcomplement activation

自泌激活:  autocrine activation

Example Sentences:

	1.	Importance of optimizing neural activation function types 优化神经元激活函数类型的重要性
	2.	And that the conclusion can also be generalized to multi - channel system . in addition , some practical considerations , e . g . , 3 .参数自适应fastica算法非线性激活函数( nonlinearactivationfunction )和独立性约束密切相关,是ica估计的关键因素之一。
	3.	Based on the analysis of all kinds of spaces in the surgical environment of orthopaedic clinic , the set with constraint - activated functions is adopted to describe clinical spaces 摘要在分析骨科临床手术环境中各类空间的基础上，用带有约束激活函数的集合对临床空间进行了描述。
	4.	First we introduce its basic idea , typical activating functions , learning rules and its main application : classification & c1ustering , associated memory and optimiza tion 我们先简要介绍了人工神经元网络的基本思想，典型激活函数，学习规则和主要应用：分类聚类，联想记忆和优化。
	5.	The dissertation is dedicatd to the theory of maximum nongaussianity estimation in ica , and some problems are emphasized , e . g . , the uniqueness of estimation , the convergence of fastica , the constraint of independence and the nonlinear activation function , the algorithms for multiple components and the order of independnent components 本文重点研究最大非高斯估计的相关理论问题,包括估计的唯一性,算法的收敛性,独立性约束分析和非线性激活函数,独立分量的排序和子空间的选择,具有时间结构信息的信号源的估计等。
	6.	Our condition and estimate are formulated in terms of the network parameters , the neurons ’ activation functions and the associated equilibrium point . hence , they are easily checkable . it is believed that these results are significant and useful for the design and applications of the delayed hopfield neural networks 这些条件和估计的公式是由网络参数、神经元激活函数以及相应的平衡点构成,所以它们很容易使用,相信这些结果对于带时间延迟的hopfield神经网络的设计和应用具有一定的重要性和使用价值。
	7.	Hi the aspect of symmetry analyzing to the hopfield model neural network with hebbian learning , we study on the dynamical behavior of the state space under the action of isometric transformation group g = z2 ? n , and prove the invariant property of the energy orientation ? / / " ) of the state space under the action of g . we find that the symmetry relationship of the network is sx - sw = sh when the active function of the neuron is odd , where sx is the symmetry of the patterns set x under hebbian learning rule , sh is the symmetry of the network and sw is the symmetry of the weight matrix w of the network ) s _ n为手段，研究了网络状态空间在群g作用下各点的运动情况，证明了群g作用下的不变性。证明了当神经元的激活函数f为奇函数时， hebb法则下存储样本集x的对称性s _ x 、网络对称性s _ h以及连接矩阵对称性s _ w三者之间满足s _ x = s _ w = s _ h的关系；同时，我们还证明了：网络稳定态集vf同一s _ h轨道中的两个稳定态的动力学行为(能量和吸引域大小)相同；两个等距网络h和h 1 = g ? h ， ( ? ) g (

Similar Words：

"激活光" English translation, "激活光导纤维" English translation, "激活光纤" English translation, "激活硅酸盐玻璃" English translation, "激活过程" English translation, "激活化" English translation, "激活混合" English translation, "激活基因阻遏子" English translation, "激活机制" English translation, "激活激光媒质" English translation