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感知器学习算法

于 2022-03-23 发布 文件大小:20.04 kB
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在机器学习中,感知是一种算法对输入的监督分类成几种可能的非二进制输出之一。它是一种类型的线性分类器,即分类算法基于线性预测器功能组合的一组权重与特征向量,使得它的预测。该算法可在线学习,因为它处理在培训内容设置一次。感知算法在康奈尔航空实验室由弗兰克罗森布拉特于1957年发明。

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