Abstract
Accumulating a large number of process innovation knowledge (PIK) is the prerequisite and basis for process innovation.PIK can be gradually refined by using. Hence, how to ensure the correctness of the PIK collaborative refinement is the basic work of knowledge accumulation. This paperproposes a construction method of PIK network by the imitating of biological neural network, and arefinement methodof PIKby the imitating of neural stimulation conduction. Because the refining processes are iterative, the refinement of process innovation needsa specificeditingmechanism and control mechanism, which allow multi-userto engage in collaborative editing and protect the consistency of collaborative editing result. Using the refinement method of PIK,it is possible to convert the discrete, rough knowledge into a PIK network that can effectively solve the process problems.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
