目标函数 in English translation

• objective function
• target function
• objective functions

Examples of using 目标函数 in Chinese and their translations into English

学习过程的两个方面都是通过优化联合目标函数得出的。
Both aspects of the learning process are derived by optimizing a joint objective function.

培训模型是调整参数的过程，以最大限度地发挥目标函数。
Training the model is the process of adjusting the parameters to maximize the objective function.

这种新颖的拓扑优化策略可以扩展到更加普遍的一维方法中，使声压可以直接使用在目标函数中。
This novel topology optimization strategy can be expanded to a more general 1D method, where pressure can be used directly in the objective function.

Hinton：Yann和Yoshua还认为--最大的困难并不是找到一个无监督学习的目标函数。
Hinton: Yann an Yoshua believe this as well- the biggest obstacle is not having an objective function of unsupervised learning.

我们把要最小化或者最大化的函数称为目标函数或准则。
The function we want to minimize or maximize is called the objective function or criterion.

我们正在寻求最小化的误差，这也被称为损失函数或目标函数。
We are seeking to minimize the error, which is also known as the loss function or the objective function.

函数f{\displaystylef}被称为目标函数，或者代价函数。
The function f, that is maximized, is called an objective function or cost function..

但随后你发现，一旦再移动一丁点儿目标函数都会继续增长。
But then, once you move a little bit you find out that the objective function is increasing again.

通过使用可快速设置的简单规则，您可以匹配事件并将事件路由到一个或多个目标函数或流。
Using simple rules, you can match events and route them to one or more target functions or streams.

线性规划目标函数和所有的约束条件都是决策变量的线性函数。
The objective function and constraints are all linear functions of the decision variables.

基于贝叶斯定理，定义了目标函数上的（高斯）后验分布，其平均值用于预测。
Based on Bayes theorem, a(Gaussian) posterior distribution over target functions is defined, whose mean is used for prediction.

线性回归的主要思想是熟悉目标函数，计算出它们的梯度和通过一些列参数使目标达到最优化。
The main idea is to get familiar with objective functions, computing their gradients and optimizing the objectives over a set of parameters.

然而它们需要计算目标函数的二阶导数，这在实践中往往过于费时。
However they need to compute the second order derivative of the objective function, which is often too expensive in practice.

其中使目标函数取得最大值或最小值的可行解叫做这个问题的最优解。
The solution where the objective function is maximized or minimized is known as optimal solution.

由于存在多个目标函数，我们必须对不同目标的相对权重或重要性做出选择。
With more than one objective function, we must make some choices regarding the relative weights, or importance, of the different objectives..

在标准式中，f称为目标函数（有时也称为损失函数）。
In this notation, is called the objective function(it is also sometimes called the cost function)..

那么，我们需要一个较小的学习率从而避免自变量在竖直方向上越过目标函数最优解。
So we need a small learning rate to prevent the independent variable from overshooting the optimal solution for the objective function in the vertical direction.

之后选择Tikhonov正则化方式[6]，目标函数变成了：.
Using the standard Tikhonov regularization method[3], the objective function becomes as follows.

我在92年发表了一篇将空间一致性作为目标函数的论文。
I published a paper in‘92 about the idea of spatial coherence being an objective function.

对训练集中大量的小样本集重复该过程，直到目标函数平均值停止下降。
The process is repeated for many small sets of examples from the training set until the average of the objective function stops decreasing.