Research on the development trend of foreign education based on machine learning and artificial intelligence simulation analysis

2021 ◽  
pp. 1-10
Author(s):  
Weifeng Yan ◽  
Guangming Wang
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Online Education ◽  
Simulation Analysis ◽  
Development Trend ◽  
Analysis Model ◽  
Education Development ◽  
Foreign Education ◽  
Education Platform ◽  
The Development Trend

The development trend of foreign education is affected by many factors, so its future development trend is difficult to judge. Therefore, it is necessary to simulate and analyze the development trend of foreign education through artificial intelligence. According to actual needs, based on artificial intelligence algorithms, this paper builds artificial intelligence simulation analysis model to realize the simulation analysis of foreign education development. Moreover, starting from the overall design architecture of the online education platform, this paper builds functional modules, uses the machine learning constructed in this paper for data training and data prediction, and outputs prediction results. In order to study the performance reliability of the model, we predict and judge the development trend of foreign education and determine the model reliability through empirical judgment. The research results show that the model constructed in this paper has a certain effect.

The Synchronization Control of a Series Hybrid Power Forklift System

2014 ◽  
Vol 543-547 ◽  
pp. 1351-1354
Author(s):  
Dian Ting Liu ◽  
Wen Xin Ding
Keyword(s):  
Simulation Analysis ◽  
Development Trend ◽  
High Price ◽  
Necessary Condition ◽  
Trace Function ◽  
Single Chip ◽  
Single Chip Microcomputer ◽  
Human Environment ◽  
The Development Trend ◽  
Work Stability

With the improvement of human environment protection consciousness, and at the situation of the high price of crude oil.Hybrid electric vehicle has gradually become the development trend of the future.Synchronization of power supply of the generator and battery is a necessary condition for forklift work stability. The system outputs SPWM signal by single chip microcomputer AT89C51 as the core chip,implementation of the trace function of frequence and phase,implementation of the defensive function of under-voltage and over-current.The circuitry electrical system is simple and flexible control.Hybrid forklift is verified its effectiveness by simulation analysis through multisim and matlab.Implementation of synchronous control of hybrid systems.

scholarly journals The effects of age and body weight on powerlifters: An analysis model of powerlifting performance based on machine learning

2019 ◽  
Vol 18 (3) ◽  
pp. 89-99
Author(s):  
Vinh Huy Chau ◽  
Anh Thu Vo ◽  
Ba Tuan Le
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Body Weight ◽  
Root Mean Square Error ◽  
Coefficient Of Determination ◽  
Mean Square ◽  
Analysis Model ◽  
Factors Affecting ◽  
Artificial Intelligence Algorithm ◽  
The Relationship

Abstract As a up and coming sport, powerlifting is gathering more and more attetion. Powerlifters vary in their strength levels and performances at different ages as well as differing in height and weight. Hence the questions arises on how to establish the relationship between age and weight. It is difficult to judge the performance of athletes by artificial expertise, as subjective factors affecting the performance of powerlifters often fail to achieve the desired results. In recent years, artificial intelligence has made groundbreaking strides. Therefore, using artificial intelligence to predict the performance of athletes is among one of many interesting topics in sports competitions. Based on the artificial intelligence algorithm, this research proposes an analysis model of powerlifters’ performance. The results show that the method proposed in this paper can predict the best performance of powerlifters. Coefficient of determination-R2=0.86 and root-mean-square error of prediction-RMSEP=20.98 demonstrate the effectiveness of our method.

scholarly journals MANAGEMENT AND INNOVATION OF PERSONAL DEVELOPMENT OF TEACHERS IN CHINA’S EDUCATION AND TRAINING INDUSTRY

2020 ◽  
Author(s):  
Lyudmila Batsenko ◽  
◽  
Shuangshan Ruan ◽  
Svitlana Dubovyk ◽  
◽  
...  
Keyword(s):  
Online Education ◽  
Personal Development ◽  
Development Trend ◽  
Education And Training ◽  
Development Model ◽  
Market Size ◽  
Training Institutions ◽  
Education Needs ◽  
The Development Trend ◽  
And Training

After years of development, the number of education and training institutions has decreased but the market size has continued to increase. The reason is the rise of online education. The development trend of combining online and offline education needs to innovate the personal development of teachers. This paper studies the development trend of the education and training industry, draws inspiration from the development trend for the personal development of teachers, and builds a personal development model for teachers based on the iceberg model. It is intended to provide innovative suggestions for the development of teachers in the education and training industry.

scholarly journals Review on the Application of Metalearning in Artificial Intelligence

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Pengfei Ma ◽  
Zunqian Zhang ◽  
Jiahao Wang ◽  
Wei Zhang ◽  
Jiajia Liu ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Reinforcement Learning ◽  
Research Direction ◽  
Development Trend ◽  
Research Process ◽  
Learning Ability ◽  
Novel Method ◽  
Accuracy Of Prediction ◽  
The Development Trend

In recent years, artificial intelligence supported by big data has gradually become more dependent on deep reinforcement learning. However, the application of deep reinforcement learning in artificial intelligence is limited by prior knowledge and model selection, which further affects the efficiency and accuracy of prediction, and also fails to realize the learning ability of autonomous learning and prediction. Metalearning came into being because of this. Through learning the information metaknowledge, the ability to autonomously judge and select the appropriate model can be formed, and the parameters can be adjusted independently to achieve further optimization. It is a novel method to solve big data problems in the current neural network model, and it adapts to the development trend of artificial intelligence. This article first briefly introduces the research process and basic theory of metalearning and discusses the differences between metalearning and machine learning and the research direction of metalearning in big data. Then, four typical applications of metalearning in the field of artificial intelligence are summarized: few-shot learning, robot learning, unsupervised learning, and intelligent medicine. Then, the challenges and solutions of metalearning are analyzed. Finally, a systematic summary of the full text is made, and the future development prospect of this field is assessed.

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