The Population Predicting Based on the Curve Fitting Least Square Method

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/).

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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  -