The perceptron can only solve linearly separable problems.
感知机只能解决线性可分问题。
Basic idea is to adoption of non-linear transform, so that after changing the characteristics of the sample space become linearly separable.
基本思想是通过非线性变换，使样本变换之后的特征空间中变得线性可分。
SP functions form a linearly separable series with a clear logical meaning and the set of PSP functions is only a special subset of SP functions.
SP函数是一类具有明确逻辑意义的线性可分结构系 ，PSP函数是SP函数的特殊子集 。
In this paper we prove a finite convergence of online BP algorithms for nonlinear feedforward neural networks when the training patterns are linearly separable.
当训练样本线性可分时，本文证明前馈神经网络的在线BP算法是有限次收敛的。
This can be a weakness in cases where the input isn't actually linearly separable, but if the input is linearly separable, it can force learning when more flexible algorithms might have more trouble.
在没有可分割的线形输入情况下，这是一个弱点，但如果输入是线形可分的，当更灵活的算法遇到更多的麻烦时，它可以强制学习。
The L2 norm soft margin algorithms in SVMs can change each linearly inseparable problem into a separable one.
支持向量机中的L2范数软边缘算法可以将线性不可分问题转化为线性可分问题。
The L2 norm soft margin algorithms in SVMs can change each linearly inseparable problem into a separable one.
支持向量机中的L2范数软边缘算法可以将线性不可分问题转化为线性可分问题。
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