activation function

Importance of Optimizing Neural Activation Function Types

优化神经元激活函数类型的重要性

Simultaneously against the shortcomings of classical BP algorithm, we put forward a kind of BP improved algorithm with varying slope of activation function and dynamically adjusting different learning rate in order to accelerate the convergence of classical BP algorithm and to avoid plunging into the local minimum.

同时针对传统BP算法的缺点，提出了一种基于变更传递函数倾斜度和动态调节不同学习速率的BP改进算法，以加快传统BP算法的收敛速度和避免陷入局部极小值点。

Therefore , DRP may function as a switchmolecule in TLR 4 signal transduction and determine the activation pathways.

根据以上结果,我们认为DRP可以抑制TLR4的MyD88依赖通路的活化并且同时促进MyD88非依赖通路的活化, 在TLR4的信号通路中可能作为两条通路的开关样(switch) 分子,参与决定两条通路的活化方向.

BP algorithm is often used to correct weights of neural network because number of hidden nodes, studying speed and generation ability of neural network are related to activation function.

以往的BP算法调节神经元网络的权值，其网络的隐层结点数、网络学习快慢程度及网络的泛化能力都与网络的激励函数有关的。

Objective: To study the correlativity between vascular endothelial function and platelets activation and the effects of composite dan-shen root dropping pill ( CDDP) in treatment of children with Kawasaki disease ( KD).

目的：研究川崎病（Kawasaki Disease，KD）患儿血管内皮功能与血小板激活状态的相关性及复方丹参滴丸的影响。

We have presented a multi-scroll chaotic generator based on famous physiological Mackey-Glass evolution equation, in which centrosymmetric piecewise linear function is employed as the activation function.

我们基于著名的生理学模型Mackey-Glass演化方程设计了一个多卷混沌发生器。在该发生器中，我们采用中心对称的分段线性函数作为系统的激活函数。

Secondly, in order to overcome sigmoid function incidental to lead to proneness to yield minimal local results in the train course of the hidden unit and output unit, which is tanh ( x) a new threshold activation function is applied.

其二，训练过程中对隐层和输出层采用了双曲正切阈值激励函数进行训练，解决了Sigmoid函数在0和1附近易陷入平坦区的情况。

The network is constructed by the error back propagation neural network used Morlet mother wavelet basic function as node activation function.

在二进小波神经网络中选用了Morlet母小波和修正的误差反传前向神经网络。

This paper introduces a multi-layered neural network cotton verticillium prediction system, whose hidden units use non-monotonic activation function.

介绍了一种使用非单调函数作为隐层节点的激励函数的前馈多层神经网络模型构造棉花黄萎病预测系统。

The paper select hyperbolic tangent function as activation function, whose (-1,+ 1) value range is more suitable for this network output.

文中选择双曲正切函数作为激励函数，其（-1，+1）的值域范围更适合本文的网络输出。

The function of K+ was represented as a restraining factor to activation and movement of the spermatozoa in the present condition.

其精子的激活不仅与激活溶液盐度有关，而且与激活溶液的离子成份有关，激活溶液中K+的存在在一定程度上对精子的活动有抑制作用；

The adsorption activation center of oxygen-containing function group existed in activate carbon surface;

活性炭表面存在含氧官能团的吸附活性中心；

But most of them are improved on activation function and self-feedback coefficient. There is not improvement on its internal state in our country yet.

然而目前大多数都是对激励函数和自反馈系数等的改进，而对内部状态进行改进的研究国内还没有出现。

Method: Based on dynamic error correction BP artificial neural network with Hyperbolic Tangent function as activation function and the number of hidden node six.

方法：利用动态学习比率BP算法以双曲正切函数为功能函数的非线性时间序列预测方法。

Optimizing neuronal activation function types based on GP in constructive FNN design

前馈网络构造性设计中基于GP实现神经元激活函数类型优化

Backgroud: Ubiquitin-proteasome pathway is the major proteolytic system in the mammal cells, involved in the regulation of cell proliferation, differentiation and apoptosis. The activation of the proteasome is curial for maintaining cell survival and function.

背景人体细胞内主要运用泛素-蛋白酶体（Ubiquitin-proteasome pathway，UPP）的蛋白水解酶体系调控细胞的增殖、分化和凋亡，所以蛋白酶体的活性状态对维持细胞的正常功能起重要作用。

The BP algorithm with the variable slope for the sigmoidal activation function accelerates the ANN training dramatically.

应用可变斜率的改进的BP算法，极大地加速神经网络的学习速度。