改进Rosenblatt的感知机算法和Novikoff定理

2002 IEEE International Conference on Industrial Technology, 2002. IEEE ICIT '02. Pub Date : 2002-12-11 DOI:10.1109/ICIT.2002.1189361

Huang-Chi Chen, Yih-Lon Lin, Yeong-Jeu Sun, J. Hsieh

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引用次数: 1

摘要

本文提出了一种改进的Rosenblatt感知器算法(1959)和Novikoff定理(1962)用于二元分类问题。对于线性可分的训练集，改进的Rosenblatt感知器算法可以得到更好的收敛效果。提供了一个示例来说明我们的主要结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Modified Rosenblatt's perceptron algorithm and Novikoff's theorem

A modified Rosenblatt's perceptron algorithm (1959) and Novikoff's theorem (1962) for binary classification problem is presented in this paper. For a linearly separable training set, the modified Rosenblatt's perceptron algorithm could get better convergence result. An example is provided to illustrate our main result.

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2002 IEEE International Conference on Industrial Technology, 2002. IEEE ICIT '02.

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