learning rate是什么意思_learning rate的中文翻译

学习率

learning───n.学习；学问；v.学习（learn的现在分词）

rate───n.(Rate)人名；(法、塞)拉特；n.比率，率；速度；价格；等级；vi.责骂；被评价；vt.认为；估价；责骂

lifelong learning───终身学习；终生学习

learning tower───学习塔

e learning───n.网络（化）学习；数字（化）学习；电子（化）学习

cooperative learning───合作学习，共同学习

altitude learning───高度学习

disentangled learning───脱节学习

associative learning───[心理]联想学习；联结式学习

This is accomplished by introducing alpha (0 1), which is called the learning rate.───这个规则通过引入 alpha (0 1) 完成。 我们把 alpha 称为 学习率。

The serious cold had disturbed my routine even badly gotten my learning rate of progress behind.───那严重的感冒干扰了我的日常作息，甚至使得我的学习进度严重落后。

Restults show that the gain, learning rate and momentum are critical for network convergence and stability.───结果表明，网络的增益、学习速率和动量是影响网络收敛和稳定性的关键参数。

can only use a big learning rate combined with a small momentum factor get a learning precision smoothly.───学习率和动量因子大小搭配使用才能够平稳达到学习精度。

To determine the parameters of model on number of node in hidden layers , learning rate, coefficient of momentum.───通过反复试验，确定了隐含层节点数、学习速率、动量系数等模型参数。

Simulation results show that the method can reduce the on-line learning space and speed up the learning rate.───仿真实验结果表明，由于只在高层保持在线学习，使学习空间得以缩小，学习时间得以缩短。

The adaptive distributed learning rate of neural networks is developed to increase the learning speed and performance greatly.───并采用自适应分布式学习速率，大大提高了神经网络的学习速度和精度。

In this algorithm, each weight has its own learning rate. Consequently, the training time was shortened obviously.───该算法使每个权都有自己的学习率，使网络的训练速度大幅度提高。

Compared to the standard BP, this algorithm integrated the additional momentum method with the adaptive learning rate method.───与标准BP算法比较，该系统通过结合附加动量法和自适应学习速率形成新的BP改进算法。

The learning rate, in turn, is expressed as 1 minus the constant percentage of costs reduced as output doubles.

The neural-network arithmetic to solve nonlinear systems was traversed. The convergence theorem of the arithmetic was presented and proved. This theorem gives theory gist to learning rate range.

An improved evolutionary NN of intelligent learning method is proposed. The hidden layer structure and learning parameters (eg. learning rate and momentum) are optimally determined by the method.