What is the translation of " LINEAR FUNCTION " in Chinese?

• 的线性函数
• 一个线性函数

Examples of using Linear function in English and their translations into Chinese

The superimposed fit is a linear function.
默认的fit是线性功能。

Other linear functions will be changed considerably.
其它线性功能将发生很大改变。

A very effective way to learn complex non linear functions.
什么时候一个有效的方法去学习复杂的非线性函数。

Each linear function is described using a 2x2 matrix like:.
每个线性函数使用2×2矩阵描述，如:.

The word“linear” in the name of the regression procedure does not mean a linear function.
回归过程名称中的“线性”一词并不意味着线性函数。

For example, a linear function could be hidden inside of an oracle that can be queried.
例如，一个线性函数可以隐藏在一个可以查询的oracle中。

The simplest form of linear regression models are linear functions of the input variables.
最简单的线性回归模型形式也是输入变量的线性函数。

If the demand curve is a linear function of price, then the price elasticity of demand is the same at all prices.
如果需求曲线是价格的线性函数，那么需求的价格弹性在任何价格水平下都是相等的。

The objective function and constraints are all linear functions of the decision variables.
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。

If we don't apply a activation function then the output signal would be simple linear function.
如果我们不运用激活函数的话，则输出信号将仅仅是一个简单的线性函数。

Code complexity doesn't just grow as a linear function of the number of lines of code- it grows combinatorially.
代码复杂度不只是随着代码行数的线性函数而增长--它组合式地增长。

The issue is, the true unknown underlying function might not be a linear function like a line.
那么问题是，实际的未知的目标函数可能不是线性函数。

It is also, however, a linear function of the input variables xi, and this imposes significant limitations on the model.
同时，它也是输入变量的一个线性函数，这给模型带来的极大的局限性。

The simplest form of the linear regression model is also the linear function of the input variables.
最简单的线性回归模型形式也是输入变量的线性函数。

Students explore increasingly complex linear functions and equation and inequality manipulation including solving systems of equations and inequalities.
学生探索越来越复杂的线性函数，方程式和不等式处理，包括方程式和不等式的求解系统。

The simplest form of the linear regression model is also the linear function of the input variables.
线性回归模型的最简单的形式也是输入变量的线性函数。

KRR learns a linear function in the space induced by the respective kernel which corresponds to a non-linear function in the original space.
KRR学习由相应内核诱导产生的空间中的线性函数，该函数对应于原始空间中的非线性函数。

The issue is, the true unknown underlying function might not be a linear function like a line.
问题是，实际的未知潜在函数可能不是一个线性函数，比如一条直线。

A hidden linear function is a linear function that is not entirely known but is"hidden" inside of another function you can calculate.
隐式线性函数是一个不完全已知的线性函数，但它“隐藏”在你可以计算的另一个函数中。

If we do not apply an activation function, the output signal would simply be a linear function.
如果我们不运用激活函数的话，则输出信号将仅仅是一个简单的线性函数。

We want our neural network to not just learn and compute a linear function but something more complicated than that.
我们希望我们的神经网络不仅仅可以学习和计算线性函数，而且还要比这复杂得多。

Below is a brief code snippet that shows how the terms defined above can be used in TensorFlow to calculate a simple linear function.
下面是一个简短的代码片段，显示了如何在TensorFlow中使用上面定义的术语来计算一个简单的线性函数。

Perfect Collinearity: In multiple regression, one independent variable is an exact linear function of one or more other independent variables.
完全共线性：在多元回归中，一个自变量是一个或多个其他自变量的线性函数。

The composition of two linear functions is itself a linear function, and unless we use some non-linear activations, we are not computing more interesting functions..
两个线性函数的组合本身就是一个线性函数，除非我们使用一些非线性激活，否则我们就不能计算更有趣的函数。

For the subsequent optimization problem, it is convenient to make this penalty a linear function of this distance.
对于接下来的最优化问题，令这个惩罚项是距离的线性函数比较方便。

In ideal case, which we certainly do not expect in practice, when a= b, this function simply becomes trivial linear function: f(x)= x.
在理想环境下--现实中我们一定不会做此期待，当$a=b$时，这个函数就变成了线性函数：$f(x)=x$。

Perfect Collinearity: In multiple regression, one independent variable is an exact linear function of one or more other independent variables.
完全共线性（PerfectCollinearity）：在多元回归中，一个自变量是一个或多个其他自变量的线性函数。

Linear interpolation was used to estimate the concentration, and the relationship was best fit to a linear function(Figure 1).
线性插值用于估计浓度,并且关系最适合于线性函数(图1)。

I guess something that literally could be programmed with a series of if conditions, or a simple linear function, is called“AI”.
我想大概那些可以用一系列「if」条件句或简单线性函数编程的东西都能叫「AI」吧。

In the traditional"additive" or"linear" model of total energy expenditure, how many calories one burns is a simple linear function of physical activity.
在传统的总能量消耗“叠加”或“线性”模型中，一个人燃烧多少卡路里热量是个简单的物理活动的线性函数。