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A Method for Illustrating Shogi Postmortems Using Results of Statistical Analysis of Kifu Data

机译:利用Kifu数据的统计分析结果说明Shogi尸体的方法

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Kifu, which is a Japanese term for a game record for a shogi games, is considered as a special type of multi-dimensional time series data, because it consists of items indicating who moved a piece and where it was moved on a grid diagram. Because of its complexity, however, it is not easy for amateur or non-players of shogi to grasp or understand overall shogi games from it. In this study we suggest averages, variances, skewness of row numbers where pawns are put, numbers of times gold and silver generals and nights are moved, which are easily calculated and understandable without comprehensive knowledge of shogi game, as features of position of shogi games. And the usability of those features is shown by a result of discriminant analysis for winner of game based on those features. Further, a software for illustrating shogi postmortems using discriminant scores obtained from discriminant analysis of Kifu data are shown.
机译:Kifu是将棋游戏的日语记录的日语术语,被认为是多维时间序列数据的一种特殊类型,因为它由指示谁移动了一块以及在网格图上移动到哪里的项目组成。但是,由于它的复杂性,对于业余或不熟练的将棋玩家来说,从中掌握或理解整个将棋游戏并不容易。在这项研究中,我们建议将平均数,方差,放置棋子的行数的偏度,金银将军的数量和夜间移动的次数(无需将棋游戏的全面知识即可轻松计算和理解)作为将棋游戏的位置特征。这些功能的可用性通过基于这些功能的游戏赢家的判别分析结果得以显示。此外,示出了用于使用从对Kifu数据的判别分析中获得的判别分数来说明将棋死事的软件。

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