Two-agent collaborative shooting method using BP neural network - Details

Author：

Zuo, Guoyu (Zuo, Guoyu.) (Scholars：左国玉) | Zhang, Shanshan (Zhang, Shanshan.) | Zhong, Guocheng (Zhong, Guocheng.) | Sun, Rongyi (Sun, Rongyi.)

Indexed by：

EI Scopus

Abstract：

A　two-agent　collaborative　shooting　method　based　on　BP　neural　network　was　proposed　to　improve　the　shooting　success　rate.　In　this　method,　the　two　players,　an　assistant　player　and　a　shooter,　perform　a　shooting　behavior　collaboratively　using　the　position　relationships　among　the　assistant　player,　the　shooter　and　the　goal.　The　three　shooting　parameters,　the　assistant＇s　passing　speed　and　passing　angle　and　the　shooter＇s　spinning　rate,　are　predicted　using　a　BP　neural　network　model,　and　the　relative　distances　and　angles　between　the　assistant　passer　and　the　shooter　at　the　beginning　of　shooting　and　those　between　the　shooter　and　the　mid-point　of　goal　are　used　as　the　input　of　this　BP　model.　The　experiments　of　simulation　match　were　conducted　on　the　Robot　Soccer　v1.5a　platform.　Experimental　results　show　that　the　collaborative　shooting　method　using　BP　network　has　a　higher　shooting　efficiency.　©2010　IEEE.

Keyword：

Sports Distributed computer systems Intelligent computing Simulation platform Neural networks Intelligent systems

Author Community：

[ 1 ] [Zuo, Guoyu]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
[ 2 ] [Zhang, Shanshan]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
[ 3 ] [Zhong, Guocheng]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
[ 4 ] [Sun, Rongyi]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China