colour stimulus function是什么意思

网络释义

用法例句

Studies on the activation functions of BP algorithm;

BP网络激励函数的研究

The paper proposes a new kind of NARX network, which has trainable activation functions in addition to only trainable weights in the conventional NARX networks.

提出了一种隐层神经元激励函数可调的具有外部输入的非线性回归(NARX)神经网络,它在进行权值调整的同时,还对各隐层神经元激励函数的参数进行自适应调节;并推导出激励函数参数的学习算法,从而使NARX神经网络更符合生物神经网络。

Previous learning algorithms, to our best knowledge, failed to take advantage of all three factors (weights, activation functions, topological structure) that influence the efficiency of such algorithms.

该算法综合考虑了影响神经网络性能的３个主要因素：权值、激励函数和拓扑结构。

In this paper, an algorithm in which active function is improved is proposed through analyzing the conventional BP algorithm, and different learning rates are used to increase the learning speed in each layer.

通过对传统BP算法的分析,提出了一种改进激励函数的学习方法,并且在神经网络的每一层采用不同的学习速率,以提高训练速度;采用所提出的改进BP算法,训练多层前向神经网络,建立机械手逆运动学模型,仿真结果表明了该算法的有效性;与传统BP算法相比,大大提高了机械手逆运动学的精度。

The circuit of active function is introduced.

介绍其中的一种Sigmoid激励函数电路实现,该电路以差分器件为主要部分,通过调整相应的参数可以调节输入电压的范围和改变激励函数的增益,并在EDA环境下仿真验证了电路的有效性。

Minimization technique of J and K excitation functions based on behaviors of flip-flop;

基于触发行为的J、K激励函数的最小化技术

By this method, secondary state equations based on the state table are compared with the standard secondary state equations of the flip-flop used in the circuits, and then the excitation functions of flip-flop can be directly acquired.

该方法从状态表中获得次态方程 ,然后将所获得的次态方程与所用触发器的标准次态方程联立比较而直接得到触发器的激励函数。

The theory of fuzzy optimum selection is combined with the neural network theory, and the topologic structure of the network is determined, including the number of implicit layers, node number of implicit layers, and the reasonable mode of the node stimulation function.

将模糊优选理论与神经网络理论相结合,确定网络拓扑结构:隐含层数、隐含层节点数与节点激励函数的合理模式。

In order to speed the convergence of BP algorithm, this paper puts forward a new stimulation function,which has an explicit physical meaning and is able to reflect the optimization essence of human beings brains.

为加速ＢＰ算法的收敛，提出了一种物理意义明确、体现人脑优选本质的新的激励函数，通过动态调整此激励函数的参数并结合已有的一些ＢＰ改进算法，用之进行股票价格的预测，得到了满意的结果。

Combined with the fuzzy optimum selection theory proposed by the author with the neural network theory, this paper provides a rational pattern of determining the topologic structure of network: number of hidden layers, number of nodes in hidden layer and stimulation function of nodes.

把笔者建立的模糊优选理论与神经网络理论结合起来，提出确定网络拓扑结构：隐含层数、隐含层节点数与节点激励函数的合理模式。

A periodic function, finite Fourier series, is used to activate the actuator for obtaining training samples.

用周期函数,有限项傅立叶级数,作为激励函数来获取训练样本。

Global Exponential Stability of Periodic Solution of Delayed Cohen-Grossberg Neural Networks with Discontinuous Neuron Activations

具不连续激励函数Cohen-Grossberg神经网络周期解的全局指数稳定性

Gauss function is used as neural network's inspirit function , and least square rule is used to recognize the character.

使用了高斯函数作为神经网络的激励函数,并以最小二乘准则对字符进行识别。

Avail Analysis of Defense Corporation and Incentive Mechanism Design;

国防企业的效用函数及激励机制设计

The utility function of the college teachers and design of motivation mechanism;

高校教师的效用函数及激励机制设计

Incentive Contracts Design for the Engineering Project Managers Based on the Cobb-Douglas Function;

基于Cobb-Douglas函数的工程项目经理激励机制设计

The binding between the performance assessment and the stimulating assessment with the function of connection;

关联函数对绩效考评与激励考评的链接

Based on the method of small parameters perturbation of2 nd order, the stochastic functional of potential energy for structures with stochastic stiffness under stochastic stimulus is derived.

利用小参数摄动法,建立了随机结构在随机激励下的二阶摄动随机势能泛函。

Incentive Coefficient:A New Concept to Measure Payment Incentive

激励系数:一个衡量薪酬激励性的新概念

To Establish an Encouragement Mechanism that Guarantees the Quality of Correspondence Teaching;

创建激励导向的函授教学质量保证体系

The method includes environmental motivation, institutional motivation, cultural motivation and adaptable motivation.

柔性激励包括环境激励、度激励、化激励、变激励。

Macro or function that runs when a form or report is activated

激活窗体或报表时所执行的宏或函数

THE SYSTEMATICS RESEARCH ON (p,n) REACTION EXCITATION FUNCTIONS

(p,n)反应激发函数的系统学研究

Matching Solution to the Pulse Function of Linear None-time Modification of Electric Circuit;

线性非时变电路的冲激函数匹配解法

Wigner functions of multiple-photon excited coherent states

多光子激发相干态的Wigner函数

The Impulse Effect of Dirac Function in Signal Processing

Dirac函数在信号处理中的冲激效应

Trainable Activation Function RBF Neural Networks Model

激活函数可调的RBF神经网络模型

US Economic Growth Figures Fail to Encourage Investors

美国经济成长数字无助于激励投资人