Title of article :
Convergence of online gradient methods for continuous perceptrons with linearly separable training patterns
Original Research Article
Author/Authors :
Wei Wu، نويسنده , , Zhiqiong Shao، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2003
Abstract :
In this paper, we prove that the online gradient method for continuous perceptrons converges in finite steps when the training patterns are linearly separable.
Keywords :
convergence , Linearly separable , Online gradient method , Continuous perceptrons , feedforward neural networks
Journal title :
Applied Mathematics Letters
Journal title :
Applied Mathematics Letters
