Prediction of English Major Training Model in Higher Vocational Education Based on Fuzzy Neural Network Algorithm

Liang Gu¹ and Jie Wang²*
¹Maanshan Teacher College, Maanshan 243000, Anhui, China
²Maanshan Teacher’s College, Anhui Province, 243000, China
Foundation Project: School-running mode of American Higher Vocational Education and its Enlightenment (SK2020A0674)
*Corresponding Author: Jie Wang, Maanshan Teacher’s College, Anhui Province, 243000, China.

Published: April 12, 2023

DOI: 10.55162/MCET.04.134

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Abstract  

The prediction of English major training model in Higher Vocational Education Based on fuzzy neural network algorithm is the process of using a neural network to predict the future. The main function of this method is to analyze and understand the human brain and its characteristics. This method can be used as an effective tool for predicting or analyzing any kind of data, such as finance, economics, psychology, medicine etc. In addition, it can also be used for understanding people’s behavior and their reactions towards various situations. Higher Vocational and technical education, the importance of talent planning in Higher Vocational and technical education has become increasingly prominent, The premise of each higher vocational and technical talent planning is to make a reasonable prediction of each higher vocational and technical talent and professional training. Fuzzy neural network can effectively deal with nonlinear and fuzzy problems, and plays a great role in intelligent information processing. Therefore, this paper studies the prediction of English professional training model in Higher Vocational Education in fuzzy neural network algorithm.

Keywords: Talent training forecast Higher vocational and technical Fuzzy neural prediction