【摘要】 <正> 1.引言包括感知器、神经网络等在内的学习方法都是基于经验风险最小(ERM)原则的,而在实际的基于小样本的学习系统中,这些学习方法在经验风险最小的情况下并不能保证期望风险最小化。对于线性不可分情况不能给出是否分段线性可分的可靠信息。如果简单地引入非线性变换,则容易导致过学习现象。这显然不是我们所希望的。更多还原

【Abstract】 In this paper, we discuss drawback of traditional subsection learning algorithm in pattern recognition and exiting support vector machines (including kernel functions), the necessity of using subsection learning algorithm based on support vector machines as well as. In turn, a subsection learning algorithm based on support vector machines, is proposed in this paper.更多还原