The conventional perceptron with the sign type activation function can be used for performing the linearly separable pattern recognition with its weight vector being found by the conventional perceptron training algorithm. On the other hand, the perceptron with the multi-pulse type activation function can be used for performing the piecewise linearly separable pattern recognition. This paper proposes a training algorithm for finding its weight vector. Moreover, some application examples of this perceptron are given for the demonstration purpose.

中文翻译：

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具有多脉冲型激活函数的感知器训练算法

具有符号类型激活函数的常规感知器可用于执行线性可分模式识别，其权重向量由常规感知器训练算法找到。另一方面，具有多脉冲型激活函数的感知器可用于进行分段线性可分模式识别。本文提出了一种寻找其权重向量的训练算法。此外，为了演示目的，给出了该感知器的一些应用示例。