Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering

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
https://doi.org/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.
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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  - https://doi.org/10.2991/amcce-15.2015.258
ID  - He2015/04
ER  -