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
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;
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
DOI :
10.1109/ICMLC.2003.1259843
