A word's distribution of reported results prediction model based on BP neural network

Maoyuan Yin; Jiajie Ning; Feifan Huang

doi:10.1117/12.2684750

19 October 2023 A word's distribution of reported results prediction model based on BP neural network

Maoyuan Yin, Jiajie Ning, Feifan Huang

Proceedings Volume 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023); 1270953 (2023) https://doi.org/10.1117/12.2684750
Event: Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 2023, Nanjing, China

Abstract

In recent years, COVID-19 has brought a huge impact on people’s life, making online activities a new trend, which promotes the rapid development of mini-games. A mini-game called “Wordle” came out currently has been brought into focus. Players are required to solve the puzzle by guessing a five-letter word in six tries or less, receiving feedback with every guess. In this paper, we use BP neural network to predict the distribution of reported results for a given solution word on a certain future date (March 1, 2023 as an example) by using the daily data from January 7, 2022 to December 31, 2022. The empirical result shows that the distribution of reported results will be (1: 10%, 2: 15%, 3: 35%, 4: 25%, 5: 10%, 6: 5%, X: 0%). Besides, the R-values of the four sets of regression data are 0.92895, 0.904, 0.89493 and 0.9199 respectively, which shows that it is effective to use BP neural network to predict the distribution of reported results.

Citation Download Citation

Maoyuan Yin, Jiajie Ning, and Feifan Huang "A word's distribution of reported results prediction model based on BP neural network", Proc. SPIE 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 1270953 (19 October 2023); https://doi.org/10.1117/12.2684750

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