功能: 计算神经网络LineNorm激活函数

格式: netFunByLineNorm(x)

x : 为矩阵变量或者数值

说明:
1. 函数执行成功返回和x同纬度的矩阵变量

2. 本函数主要计算的原理如下
$$
\begin{aligned}
\alpha &= \mathbf{Min}(x)
\\
\beta &=\mathbf{Max}(x)
\\
\mathbf{netFunByLineNorm}(x_i) &= \dfrac{x_i - \alpha}{\beta - \alpha}
\end{aligned}
$$

例子:
x =
[-0.73290256607947   -1.95092696112158    0.21744714338213    2.19789781453921
 -4.72275318588258    1.99957438581603    2.94959032789319   -4.31942455462153
 -6.10488919615973   -1.19050327068684   -6.38943656901337    2.98098757280083
 -2.76742173278119   -4.81647247463300   -3.72662812435377   -4.00467786914887 ]
y = netFunByLineNorm(x)//回车得到如下结果
y =
[ 0.60365826747291    0.47367222024514    0.70507840546013    0.91642963579768
  0.17786637594059    0.89526480635968    0.99664932510711    0.22090910540054
  0.03036654142301    0.55482368990396    0.00000000000000    1.00000000000000
  0.38653691459594    0.16786477010802    0.28417160251873    0.25449847987380 ]