The Population Predicting Based on the Curve Fitting Least Square Method
Authors
Lili He, Zhao Jin
Corresponding Author
Lili He
Available Online April 2015.
- DOI
- 10.2991/amcce-15.2015.258How to use a DOI?
- Keywords
- Curve Fitting; Malthusian model; prediction model
- Abstract
In various scientific experiments, experimenter always get some discrete data, to estimate the function with the original rules from these data, interpolation is a method for dealing with this kind of problem.But when the discrete data is too much,it can be caused serious distortion which is called Runge phenomenon at the interval endpoints.To avoid the Curve Fitting Least Square method is a kind of optimal solution. The Curve Fitting Least Square method is used to be dealing with structure prediction model etc.In this paper, Malthusian model is the method of population predicting.In Malthusian model,the unknown variable is ascertained by the Curve Fitting Least Square method.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Lili He AU - Zhao Jin PY - 2015/04 DA - 2015/04 TI - The Population Predicting Based on the Curve Fitting Least Square Method BT - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/amcce-15.2015.258 DO - 10.2991/amcce-15.2015.258 ID - He2015/04 ER -