詳情
識別號
stcompfyp:113
題名
An improved resilient propagation algorithm by introducing deterministic weight modification and magnified gradient function
作品類型
Final Year Project/Work
系列 / 集 / 庫
S&T Best Computing Projects
創建者
Fung, Alan 馮子鍵 (creator)
Ng, Sin Chun Vanessa 吳倩珍 (supervisor)
學院 / 部門
School of Science and Technology (S&T) 
課程
Bachelor of Computing with Honours in Computing
日期
2010
摘要
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.
資料類型
PDF
語言
English
資料描述
5 pages.
關鍵字
neural networks; algorithms; Resilient propagation (Rprop); Deterministic weight modification (DWM); Backpropagation (BP) with magnified gradient function (MGFProp); Magnified gradient function (MGF)
存取限制
Public Access
固定連結