Resources Structure Temporal and Spatial Distribution Characteristics based on Rough Set and Process Neural Network

DOI

10.2991/amcce-15.2015.177How to use a DOI?

Keywords

Human capital; Neural network; Data mining; MATLAB software; Relevance; Rough set

Abstract

In order to analyze the spatial and temporal characteristics of the human capital structure data based on rough set and process neural network algorithm, this paper proposes a new data mining method, which can effectively reveal the association temporal and spatial characteristics of human capital output. In order to study the effectiveness and reliability of the algorithm, this study adopts the female human capital output data sample as the research object, and uses the rough set algorithm and process neural network algorithm to do spatial-temporal data mining on the human capital structure data, and uses sequential circuit to do series analysis on data signal. Finally this paper uses MATLAB software to do series computation on data signal, and the associated curve of human capital output is obtained, which provides theoretical reference for data mining on female human capital.

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  - Yanjie Yu
PY  - 2015/04
DA  - 2015/04
TI  - Resources Structure Temporal and Spatial Distribution Characteristics based on Rough Set and Process Neural Network
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SP  - 791
EP  - 796
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.177
DO  - 10.2991/amcce-15.2015.177
ID  - Yu2015/04
ER  -