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
Pages
4
From page
999
To page
1002
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
Serial Year
2003
Journal title
Applied Mathematics Letters
Record number
897608
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