[Retracted] Application of Intelligent Fuzzy Decision Tree Algorithm in English Teaching Model Improvement

Abstract

As the number of students in universities continues to grow, the university academic management system has a large amount of data on student performance. However, the utilization of these data is only limited to simple query and statistical work, and there is no precedent of using these data for improving English teaching mode. With the application of fuzzy theory in machine learning and artificial intelligence, the fuzzy decision tree algorithm was born by integrating fuzzy set theory with decision tree algorithm. In this paper, we propose a way to obtain the centroids of continuous attribute clustering by K-means algorithm and combine the triangular fuzzy number to fuzzy the continuous data. In addition, this paper analyzes the influence of nearest neighbor distance on classification, introduces Gaussian weight function, gives different voting weights to the neighborhood according to the distance, and establishes a weighted K-nearest neighbor classification algorithm. To address the problem of low classification efficiency of K-nearest neighbor algorithm when the dataset is large, this paper further improves the algorithm and establishes the partitioned weighted K-nearest neighbor algorithm. The classification time was shortened from 11.39 seconds to 5.22 seconds, and the classification efficiency greatly improved.

Generation and Optimization of Teaching Decision Generation Under a Smart Teaching Environment

“…Then, (7) The gradient of formula (7) can be calculated by: (8) According to the current decision, the decision implementation is sampled. Then, the soft Q function is trained to minimize the Bellman residual: (9) where, W * (rτ,oτ) can be given by: (10) Introducing the objective value network DΦ' to perform stochastic gradient optimization of formula (9): (11) The decision network parameter for Kullback-Leibler (KL) divergence can be minimized by: (12) Let ρτ be the noise. During the selection of decision implementation, ρτ is introduced to satisfy a certain distribution.…”

“…The development and application of smart teaching platforms are promoted by various new smart devices and advanced techniques [1][2][3][4][5][6][7][8][9]. Online learning is highly susceptible to interference from other factors.…”

Research on the Innovation Path of English Culture Teaching Methodology in Universities Based on Cluster Analysis

“…During the teaching process, teachers can use the Internet to create information-based learning scenarios so students can experience an authentic communicative atmosphere [5]. In the post-lesson review session, teachers can provide micro-lessons to assist students in reviewing and consolidating what they have learned in class [6][7]. Teachers rely on information technology to create an English platform teaching mode and mobilize students' interest in English learning [8].…”

“…Chunye Zhang, Jing Li and Yun Cao. Applied Mathematics and Nonlinear Sciences, 9(1) (2024)[1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18] …”

MOOC Teaching Model of Basic Education Based on Fuzzy Decision Tree Algorithm

“…With the popularity of online video software of Tencent, Youku, and Iqiyi, people gradually pay attention to the field of online video. The sudden epidemic has also made more and more people pay attention to the teaching model of online video education (Li et al) [ 1 ]. Under the current epidemic situation, more and more schools choose to upload courses to online teaching platforms, which are funded by students to watch, study, and download.…”