Research on RoboCup Passing Ball Based on Partial Least Square

DOI

10.2991/cset-16.2016.45How to use a DOI?

Keywords

Multi agent system, log files, mathematical modeling, partial least-square, regression analysis, multicollinearity

Abstract

Passing ball action runs through the RoboCup simulation games, both teams spare no effort to win the game, the paper is going to study the connection between passing ball action and the game deeply. It puts forward to adopt the idea of Data Mining, analyzes games' log files by C language program in order to collect the required passing ball data, divides passing ball into 5 types which are seen as independent variables and see score as dependent variable, then establishing mathematical model combining with partial least-square(PLS).A few relevant figures are used to analyze and verify the experimental result which comes from SIMCA-P. The VIP values of 5 independent variables to dependent variable are as follows: 0.07980, 0.98735, 1.0.888, 1.10082, 1.33668 under the circumstance that carrying 73.2% of independent variables information and 74.3% of dependent variable information. After linking theoretical result with practical scene, it is concluded that long pass plays a major role in a game for passing ball.

Copyright

© 2016, 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  - Yuan Song
AU  - Zekai Cheng
PY  - 2016/08
DA  - 2016/08
TI  - Research on RoboCup Passing Ball Based on Partial Least Square
BT  - Proceedings of the 2016 International Conference on Computer Science and Electronic Technology
PB  - Atlantis Press
SP  - 191
EP  - 195
SN  - 2352-538X
UR  - https://doi.org/10.2991/cset-16.2016.45
DO  - 10.2991/cset-16.2016.45
ID  - Song2016/08
ER  -