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S&T Best Computing Projects
On solving the local minimum problem in feed forward neural networks
/sw/zh-hans/islandora/object/stcompfyp%3A126/datastream/OBJ/view
作品集
S&T Best Computing Projects
细节
识别号
stcompfyp:126
题名
On solving the local minimum problem in feed forward neural networks
作品类型
Final Year Project/Work
系列 / 集 / 库
S&T Best Computing Projects
创建者
Tse, Hau Ting Eric 謝效庭 (creator)
Ng, Sin Chun Vanessa 吳倩珍 (supervisor)
学院 / 部门
School of Science and Technology (S&T)
课程
Bachelor of Computing with Honours in Internet Technology
日期
2011
摘要
The aim of this project is to investigate the local minimum problem in neural network and to design an algorithm to solve the problem.
资料类型
PDF
语言
English
资料描述
3 pages.
奖项
Champion (undergraduate section), Student Paper Contest, 2011 (IEEE(HK), Institute of Electrical and Electronics Engineers Hong Kong Section)
关键词
neural networks; algorithms; output monitoring and modification; meta training; Magnified gradient function (MGF); Resilient propagation (Rprop); Quickprop
存取限制
Public Access
固定连结
https://repository.lib.hkmu.edu.hk/sw/islandora/object/stcompfyp:126
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