DocumentCode
401773
Title
Adding forecast support to workflow management system by classical logic formula computing
Author
Qiu, Xiao-Ping ; Li, Hai-ming ; Du, Ya-sun ; Xu, Yang
Author_Institution
Dept. of Appl. Math., Southwest Jiaotong Univ., Sichuan, China
Volume
4
fYear
2003
fDate
2-5 Nov. 2003
Firstpage
2061
Abstract
Workflow technology is a new hotspot in the area of computer application after the 1990s. In order to improve the performance of workflow management system (WfMS), a dynamic neural network based on classical formula computing is proposed to add forecast support to it. On the basis of the requirement of WfMS, neural unit, generation algorithm and computing algorithm for classical logic formula computing are discussed in detail and the experiment results show that this method is effective and universal.
Keywords
forecasting theory; fuzzy logic; neural nets; workflow management software; classical logic formula computing; computing algorithm; dynamic neural network; forecast support; fuzzy logic formula; generation algorithm; neural unit; soft computing; workflow management system; Computer applications; Computer networks; Engines; Intelligent control; Logic; Machine learning algorithms; Mathematics; Neural networks; Uniform resource locators; Workflow management software;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN
0-7803-8131-9
Type
conf
DOI
10.1109/ICMLC.2003.1259843
Filename
1259843
Link To Document