Details
Record ID
stcompfyp:113
Title
An improved resilient propagation algorithm by introducing deterministic weight modification and magnified gradient function
Type of Work
Final Year Project/Work
Collection
S&T Best Computing Projects
Contributor
Fung, Alan 馮子鍵 (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 Computing
Date
2010
Abstract
The aim of project is to improve an existing training algorithm on feed-forward neural network. This algorithm will base on Resilient Propagation (RPROP) and try to improve the global convergence capability and speed up the convergence rate.
Type of Resource
PDF
Language
English
Physical Description
5 pages.
Keywords
neural networks; algorithms; Resilient propagation (Rprop); Deterministic weight modification (DWM); Backpropagation (BP) with magnified gradient function (MGFProp); Magnified gradient function (MGF)
Access Eligibility
Public Access
Permanent Link