基于游戏惯性行为的预测方法  

The predicting method on inertia acts

作　　者：王军[1] 黄俊[1] 

机构地区：[1]中国计量学院计算机科学系,浙江杭州310018

出　　处：《微计算机信息》2010年第21期109-111,共3页Control & Automation

基　　金：基金申请人:黄俊;项目名称:基于数字电视机顶盒的嵌入式游戏引擎的研究与开发;基金颁发部门:浙江省科技厅(2007C21017)

摘　　要：在大型网络游戏里,经常采用数据预测技术应对因网络延时而导致的画面不流畅问题,针对此问题,基于前人的研究之上提出了一种基于玩家惯性行为的预测方法。为了能够更好的预测出网络游戏中的非线性行为,充分利用统计规律性,设计了一种基于玩家惯性行为的预测方法,使得此方法具有预测效果好,符合统计规律等特点,为游戏的流畅性和可玩性提供了保证.实验结果表明,其是一种行之有效的预测方法。In large-scale online games, usually uses the data predicting technology to deal with the problem that the picture is not fluent ,which caused by network delay,for this problem,according to previous research, proposes a predicting method based on inertia acts among players.In order to predict the non-linear behavior better in online games, making full use of statistical regularity,designs a forecasting method based on the inertia acts of players, this method has good predicting effect and conforms the statistical regularity,etc.,provides a better guarantee for the fluency and playability in game. The experimental results show that ,it is an effective predicting method.

关 键 词：数据预测 惯性行为 非线性行为 统计规律性 

分 类 号：TP393.09[自动化与计算机技术—计算机应用技术]