| RTS游戏中用户行为的神经网络预测模型 |
| |
| 引用本文： | 李艳,代佳岳,佟晓磊,王熙照. RTS游戏中用户行为的神经网络预测模型[J]. 计算机工程与设计, 2012, 33(2): 740-744 |
| |
| 作者姓名： | 李艳 代佳岳 佟晓磊 王熙照 |
| |
| 作者单位： | 河北大学数学与计算机学院河北省机器学习与计算智能重点实验室,河北保定,071002 |
| |
| 基金项目： | 国家自然科学基金项目，河北省自然科学基金项目，河北省第二批百名优秀人才支持计划基金项目，2010年保定市科学技术研究与发展指导计划基金项目 |
| |
| 摘 要： | 即时战略游戏(简称RTS游戏)中,用户的行为由于游戏自身庞大的决策空间而难以预测.针对这个问题,提出了通过对RTS游戏的对战记录进行分析,建立5种结构的神经网络模型来预测用户行为的方法.模型考虑了不同时间片的状态对于决策行为的影响,设计了单时间片输入和双时间片输入的神经网络,并与基于动态贝叶斯网络的模型进行了比较.实验结果表明,基于单时间片输入的神经网络模型能够更加快速地完成训练过程并达到满意的预测准确度.
|
| 关 键 词： | 即时战略游戏 行为预测 神经网络 动态贝叶斯网络 时间片 |
Neural network-based behavior prediction models for RTS game players |
| |
| LI Yan , DAI Jia-yue , TONG Xiao-lei , WANG Xi-zhao. Neural network-based behavior prediction models for RTS game players[J]. Computer Engineering and Design, 2012, 33(2): 740-744 |
| |
| Authors: | LI Yan DAI Jia-yue TONG Xiao-lei WANG Xi-zhao |
| |
| Affiliation: | (Key Laboratory in Machine Learning and Computational Intelligence,College of Mathematics and Computer Science,Hebei University,Baoding 071002,China) |
| |
| Abstract: | Due to the large decision space of real time strategy(RTS) games,game players’ behaviors are difficult to predict especially when facing different situations.In this case,five kinds of neural network models are constructed by analyzing RTS game data to predict players’ behaviors in different states.Considering the influence of time slices on player behaviors,neural networks are designed respectively with single time slice input and double time slice input,and then compared their prediction performance with dynamic Bayesian network based model.Experimental results show that the model with single time slice input is the most efficient one and can achieve satisfactory prediction accuracy. |
| |
| Keywords: | real time strategy(RTS) game behavior prediction artificial neural network dynamic Bayesian network time slice |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
