应用感知器进行模式分类

The Applications of Perceptron to Pattern Classifying

感知器是一种有用的神经网络模型,可以对线性可分的模式进行正确分类。试验结果表明,该网络模型适用于简单的模式分类问题,具有较好的实用性。

Perceptron is a kind of useful neural network model and can classify the classification of the detachable linearity correctly.The experimental results show that the neural network model is useful to simple problems to pattern classifying and has a good practicability.