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感知器算法

于 2017-08-20 发布 文件大小:181KB
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  感知器算法是一种神经网络的模型,是20世纪50年代中期到60年代初人们对模拟人脑学习能力的一种分类学习机模型的称呼。当时的研究者认为它是一种学习的强有力模型,但以当时的技术无法实现非线性分类,许多实验室都放弃了感知器的研究。但其中的思想很经典,对后来的模式识别模型有很大的影响。当然,随着时代的进步,已经有很多学者提出了许多非线性的感知器改进算法,并取得良好效果,此程序主要基于Matlab来具体实现传统的感知器算法。(This program is based on Matlab to specifically achieve the traditional perceptron algorithm.)

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