By Topic

The non-equal-interval direct optimizing verhulst GM(1,1) model and its application to fatigue test

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Youxin Luo ; Coll. of Mech. Eng., Hunan Univ. of Arts & Sci., Changde, China ; Zheming He ; Mianyun Chen

¿Poor¿ information systems are found everywhere. The mining technology of data of known information is very important. Method model-based is an important approach. The non-equal-interval optimizing direct Verhulst GM(1, 1) model was built which extended equal interval to non-equal-interval and suited for general data modeling and estimating parameters of direct Verhulst GM (1, 1) by optimizing the background value. The new model need not pre-process the primitive data, accumulated generating operation (AGO) and inverse accumulated generating operation (IAGO). It is not only suited for equal interval data modeling, but also for non-equal interval data modeling. Its calculation is simple, higher accuracy and used convenient. The example shows that the novel model is simple and practical. The new model is worth expanding and applying in data processing or test on-line monitoring and other social sciences, engineering sciences.

Published in:

Grey Systems and Intelligent Services, 2009. GSIS 2009. IEEE International Conference on

Date of Conference:

10-12 Nov. 2009