激活函数 meaning in English
activation function
Examples
- Importance of optimizing neural activation function types
优化神经元激活函数类型的重要性 - 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。 - 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。 - 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。 - 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。