Adding forecast support to workflow management system by classical logic formula computing

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.