Abstract
In this paper, we present an approach to the least squares solution to grey Verhulst model, and verify its feasibility by numerical examples. We also present the least squares solutions of grey models GM (1, 1) and GM (2, 1). For the convenience of applications in expert systems, the parameters computing formulas of grey models are also presented here. We carry out some numerical examples to examine the modeling precision of grey models in conventional way and in least squares. The numerical results reveal that the modeling precision of grey models in least squares is always better than that in conventional way.
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.
