A study on neural network training algorithm for multiface detection in static images

被引：0
|
作者：
Zakaria, Zulhadi [1 ]
Isa, Nor Ashidi Mat [1 ]
Suandi, Shahrel A. [1 ]
机构：
[1] School of Electrical and Electronic Engineering, Universiti Sains Malaysia, 14300 Nibong Tebal, Seberang Prai Selatan Pulau Pinang, Malaysia
来源：
World Academy of Science, Engineering and Technology | 2010年 / 62卷
关键词：
Optimization - Conjugate gradient method;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper reports the study results on neural network training algorithm of numerical optimization techniques multiface detection in static images. The training algorithms involved are scale gradient conjugate backpropagation, conjugate gradient backpropagation with Polak-Riebre updates, conjugate gradient backpropagation with Fletcher-Reeves updates, one secant backpropagation and resilent backpropagation. The final result of each training algorithms for multiface detection application will also be discussed and compared.
引用
收藏
页码：170 / 173
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