Research related to Wordle-oriented combination of multiple algorithms based on neural networks

Jiayi Jin; Zhipeng Lin; Shengyuan Zheng; Zhihui Liang; Xuanlin Chen; Yihan Cai

doi:10.1117/12.3012207

21 December 2023 Research related to Wordle-oriented combination of multiple algorithms based on neural networks

Jiayi Jin, Zhipeng Lin, Shengyuan Zheng, Zhihui Liang, Xuanlin Chen, Yihan Cai

Proceedings Volume 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023); 129703L (2023) https://doi.org/10.1117/12.3012207
Event: Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 2023, Guilin, China

Abstract

Wordle is a popular word puzzle game offered by The New York Times, with two different modes: regular and difficult, which will affect the player to varying extent. Given that a report in New York Times shows that the number of reported results is changing every day, a time series forecasting model based on the ARIMA method was built on the data to account for the changes and create a forecast interval for the number of reported results on 1 March 2023. The Pearson coefficient was calculated to determine whether any change in the attributes of the language would have an effect on the percentage of the game scores gained in the difficult mode. For a given future solution word at a future date, a BP neural network-based model was developed to predict the relevant percentage for a future date. Based on entropy method and K-means algorithms to classify solution words according to difficulty, the attributes of a given word associated with each classification are identified. Experimental results show that the model is able to achieve good performance on most datasets.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jiayi Jin, Zhipeng Lin, Shengyuan Zheng, Zhihui Liang, Xuanlin Chen, and Yihan Cai "Research related to Wordle-oriented combination of multiple algorithms based on neural networks", Proc. SPIE 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 129703L (21 December 2023); https://doi.org/10.1117/12.3012207

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