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On solving the local minimum problem in feed forward neural networks

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Collection
  • S&T Best Computing Projects
Details
Record ID
stcompfyp:126
Title
On solving the local minimum problem in feed forward neural networks
Type of Work
Final Year Project/Work
Collection
S&T Best Computing Projects
Contributor
Tse, Hau Ting Eric 謝效庭 (creator)
Ng, Sin Chun Vanessa 吳倩珍 (supervisor)
School / Unit
School of Science and Technology (S&T) 
Program
Bachelor of Computing with Honours in Internet Technology
Date
2011
Abstract
The aim of this project is to investigate the local minimum problem in neural network and to design an algorithm to solve the problem.
Type of Resource
PDF
Language
English
Physical Description
3 pages.
Awards
Champion (undergraduate section), Student Paper Contest, 2011 (IEEE(HK), Institute of Electrical and Electronics Engineers Hong Kong Section)
Keywords
neural networks; algorithms; output monitoring and modification; meta training; Magnified gradient function (MGF); Resilient propagation (Rprop); Quickprop 
Access Eligibility
Public Access
Permanent Link
https://repository.lib.hkmu.edu.hk/sw/islandora/object/stcompfyp:126
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