当感知机算法在训练集线性可分的条件下会在某个解中达到收敛,而且会在多个质量不同且满足条件的解中任意选一个。<ref>Bishop, Christopher M. "Chapter 4. Linear Models for Classification". Pattern Recognition and Machine Learning. Springer Science+Business Media, LLC. p. 194. ISBN [https://en.wikipedia.org/wiki/Special:BookSources/978-0387-31073-2 978-0387-31073-2].</ref>''最佳稳定性感知机''现在一般称为[[SVM支持向量机]],就是设计用来解决这个问题的。<ref name="KrauthMezard87">W. Krauth and M. Mezard. Learning algorithms with optimal stability in neural networks. J. of Physics A: Math. Gen. 20: L745-L752 (1987)</ref> | 当感知机算法在训练集线性可分的条件下会在某个解中达到收敛,而且会在多个质量不同且满足条件的解中任意选一个。<ref>Bishop, Christopher M. "Chapter 4. Linear Models for Classification". Pattern Recognition and Machine Learning. Springer Science+Business Media, LLC. p. 194. ISBN [https://en.wikipedia.org/wiki/Special:BookSources/978-0387-31073-2 978-0387-31073-2].</ref>''最佳稳定性感知机''现在一般称为[[SVM支持向量机]],就是设计用来解决这个问题的。<ref name="KrauthMezard87">W. Krauth and M. Mezard. Learning algorithms with optimal stability in neural networks. J. of Physics A: Math. Gen. 20: L745-L752 (1987)</ref> |