Simulation Analysis on Network Topology Control of Wireless Sensor Based on Bias Quantile

DOI

10.2991/amcce-15.2015.146How to use a DOI?

Keywords

Intelligent structure; Curve fitting; Data mining; Large data; Bias

Abstract

The shortage of human demand change in business enterprise provides an opportunity for employment concept change, which makes the employment concept sample data capacity greatly increased. In order to realize the analysis of large sample data, this paper does curve fitting on the employment large sample data, using Bias quantile coupling and intelligent decoupling process to calculate coupling balance degree of supply and demand data, finally uses MATLAB software to program the algorithm. Through the simulation iterative calculation, the fitted curve of talent supply and demand data in business enterprise is obtained, finally this paper uses the Bias quantile balance optimization algorithm to obtain the fitting the curve of supply and demand in good condition, which provides a new computer method for employment large sample data mining.

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  - Wenliu Zhang
PY  - 2015/04
DA  - 2015/04
TI  - Simulation Analysis on Network Topology Control of Wireless Sensor Based on Bias Quantile
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SP  - 1097
EP  - 1102
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.146
DO  - 10.2991/amcce-15.2015.146
ID  - Zhang2015/04
ER  -