首页|Wordle答题情况的预测与分析

Wordle答题情况的预测与分析

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Wordle是《纽约时报》的一款"猜词"游戏,玩家可根据"试错"的提示信息猜出正确的"谜底".根据 2023 年美国大学生数学建模竞赛(MCM/ICM)赛题数据,建立了预测答题情况的ARIMA-LSTM模型和单词的难度分类模型,并按照模型选出难度恰当的"单词"作为"谜底",以实现《纽约时报》预测Wordle玩家"试错"次数和依难度对单词进行分类的功能.
Prediction and Analysis for Wordle
Wordle is a"word guessing"game by The New York Times.Players can guess the correct"answer"ac-cording to the"trial and error"prompt information.2023 MCM/ICM contest asked participants to predict the difficulty of words and the number of trial-and-error attempts by players.According to the data provided,the ARMI-LSTM model and the difficulty classification model of words are established to predict the answer situation of a certain day.According to the above model,"words"of the appropriate difficulty can be selected as"answers".

ARIMA-LSTM predictionK-means cluster analysisconfusion matrix

蔡忠哲、曾日威、林承铖、李韶伟

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台州学院 电子与信息工程学院,浙江 临海 317000

ARIMA-LSTM预测 K-means聚类分析 混淆矩阵

2023

台州学院学报
台州学院

台州学院学报

CHSSCD
影响因子:0.283
ISSN:1672-3708
年,卷(期):2023.45(6)
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