Welcome to Francis Academic Press

Academic Journal of Computing & Information Science, 2023, 6(8); doi: 10.25236/AJCIS.2023.060818.

The application of intelligent algorithms in word discrimination

Author(s)

Zequan Yang1, Xinyu Wu2, Xiongfeng Zhang2

Corresponding Author:
Zequan Yang
Affiliation(s)

1College of Mechanical Engineering, Chongqing Technology and Business University, Chongqing, 400067, China

2College of Computer Science and Information Engineering, Chongqing Technology and Business University, Chongqing, 400067, China

Abstract

Words play a huge role in people's communication and transmission of information. The LSTM model is first established in this paper to analyze the changing trend of the number of people in the time series of the data set. According to the model, the linear regression model was used to process the word characteristic values and put them into the least square model for fitting through linear regression, and the MAPE value was obtained, and the comparative test effect was conducted on the value. At the same time, the F statistic was used to test the significance of the regression equation, and the Prob value was obtained. After the comparison of standard values, word attributes did not affect the percentage of the number of people registered in the difficult mode. The characteristic values of 5 words were divided by analysis and input into LR linear regression, XGB, random forest, GA-BP neural network, and Bayesian classifier models for training. It was found that the XGB determination coefficient of the simulated annealing model was 0.506. Finally, BP neural network learning based on a genetic algorithm is used to predict, and the percentage of correct answers to each word is subject to normal distribution results.

Keywords

Time Series Prediction, Prediction Model, Bayesian Classifier, Big Data

Cite This Paper

Zequan Yang, Xinyu Wu, Xiongfeng Zhang. The application of intelligent algorithms in word discrimination. Academic Journal of Computing & Information Science (2023), Vol. 6, Issue 8: 146-157. https://doi.org/10.25236/AJCIS.2023.060818.

References

[1] Hu Guangyao, Zhang Li. Research on English Word Memory Method Based on Roots and Affixes [J]. Curriculum and Teaching Methodology, 2022, 5(4). 

[2] Natalia Diachok, Olena Kuvarova, Tetiana Vysotska, Svitlana Korotkova, Iryna Khurtak. A Word and a Word Combination in Language and Speech [J]. Studies in Media and Communication, 2022, 10(3). 

[3] Dongbo Zhang, Chin-Hsi Lin, Yining Zhang, Yunjeong Choi. Pinyin or no pinyin: does access to word pronunciation matter in the assessment of Chinese learners’ vocabulary knowledge? [J]. The Language Learning Journal, 2019, 47(3). 

[4] Lou Zhengwei, Pan Zhigeng, Jin Haiyan, Zhang Beibei. A Method of Combination Word Recognition Based on Word Structure Features [J]. Twelfth International Conference On Graphics And Image Processing (ICGIP 2020), 2021, 11720. 

[5] Mangi Kang, Jaelim Ahn, Kichun Lee. Opinion mining using ensemble text hidden Markov models for text classification [J]. Expert Systems with Applications, 2018, 94. 

[6] Murre Jaap M J, Chessa Antonio G. Why Ebbinghaus' savings method from 1885 is a very 'pure' measure of memory performance. [J]. Psychonomic bulletin & review, 2022, 30(1). 

[7] Xiaoli D. Media Ethics Anomie and Value Construction under Intelligent Algorithms[J].Journal of Huaihai Institute of Technology(Humanities & Social Sciences Edition), 2019.

[8] S. M. Saklain Galib, Sheikh Md. Rabiul Islam, Md. Asadur Rahman. A multiple linear regression model approach for two-class fNIR data classification [J]. Iran Journal of Computer Science, 2020, 4(1). 

[9] Sharin Siti Nurhidayah, Radzali Mohamad Khairil, Sani Muhamad Shirwan Abdullah. A network analysis and support vector regression approaches for visualising and predicting the COVID-19 outbreak in Malaysia [J]. Healthcare Analytics, 2022, 2. 

[10] Belkourchia Yassin, Es Sadek Mohamed Zeriab, Azrar Lahcen. New Hybrid Perturbed Projected Gradient and Simulated Annealing Algorithms for Global Optimization [J]. Journal of Optimization Theory and Applications, 2023, 197(2). 

[11] Zhang Yan, Wang YaJun, Zhang Yong, Yu Tong. Photovoltaic Fuzzy Logical Control MPPT Based on Adaptive Genetic Simulated Annealing Algorithm-Optimized BP Neural Network [J]. Processes, 2022, 10(7). 

[12] Joseph Awotunde, Sanjay Misra, Vikash Katta, Oluwafemi Adebayo. An Ensemble-Based Hotel Reviews System Using Naive Bayes Classifier [J]. Computer Modeling in Engineering & Sciences, 2023, 137(1). 

[13] Jin Guangying, Feng Wei, Meng Qingpu. Prediction of Waterway Cargo Transportation Volume to Support Maritime Transportation Systems Based on GA-BP Neural Network Optimization [J]. Sustainability, 2022, 14(21).