A novel method for rule extraction in a knowledge-based innovation tutoring system

Paredes-Frigolett, Harold; Gomes, Luiz Flávio Autran Monteiro

doi:10.1016/j.knosys.2015.10.027

Cited by 13 publications

(3 citation statements)

References 51 publications

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“…Through the Wanfang database and CNKI, we have consulted and collected research literature on amateur table tennis training, smart sensors, and smart wearable devices to understand the research and development process related to this topic. Using scientific and reasonable methods, the classification, analysis, and summary of related documents were carefully carried out, which laid a solid foundation for the writing of this paper [20].…”

Section: Methodsmentioning

confidence: 99%

Application of Internet of Things Artificial Intelligence and Knowledge Innovation System in Table Tennis Teaching and Training

Cui

Zhou

2022

Applied Bionics and Biomechanics

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The Internet of Things is an important link in the future development of the Internet and will have a significant impact on development over the next five years or so. The purpose of this article is to learn how to use the Internet of Things to learn and practice table tennis and find new ways to integrate table tennis and the internet. This article proposes to build a detection system for IoT sensors and collect information about the ball’s movement state and the athlete’s movement state during table tennis. Through data analysis, we better guide athletes to develop table tennis training. At the same time, it also uses knowledge innovation to integrate the Internet of Things with the reality of life and better derive the development of the Internet of Things artificial intelligence. Based on this, this paper designs the construction of IoT sensors to collect the sports status of table tennis enthusiasts and verify the sports experience of table tennis enthusiasts by comparing factors such as physical training, basic skills and mobile training, interest, and confidence. The experimental results of this article show that the Internet of Things artificial intelligence has great potential, and it can innovatively promote industrial change. It better realizes the teaching and training of table tennis players and improves the teaching and training ability of table tennis by 20%.

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Section: Methodsmentioning

confidence: 99%

Application of Internet of Things Artificial Intelligence and Knowledge Innovation System in Table Tennis Teaching and Training

Cui

Zhou

2022

Applied Bionics and Biomechanics

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“…Knowledge-based systems (KBSs) or expert systems (ESs), are a form of computerized artificial intelligence programming to capture and employ knowledge for settling complex problems, such as fault diagnosis or inference [1][2][3]. However, the uncertainties of objective rooted in people's information and knowledge are widely existed in the real world.…”

Section: Introductionmentioning

confidence: 99%

Parameter Optimization Strategy of Fuzzy Petri Net Utilizing Hybrid GA-SFLA Algorithm

Jiang

Zhou

2019

Simulation Tools and Techniques

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Fuzzy Petri net (FPN) is a powerful tool to model and analyze the knowledge-based systems (KBSs) or expert systems (ESs). The accuracy of the reasoning result is a bottleneck to hinder the further development of FPN because of lacking self-learning capability. To overcome this issue, a hybrid GA-SFLA algorithm is proposed in this paper to improve the precision of each parameter of a given FPN model. The proposed algorithm combines the advantages both of GA and SFLA and includes three phases, which are generating chromosome by encoding the multi-dimensional solution which reflects all initial frogs, gaining a better individual as well as seeking the optimal solution by executing the local search and global search operations of SFLA. Finally, an FPN model is used to test the feasibility of the proposed algorithm. Simulation results reveal that all parameters of the given FPN model have the higher precision by implementing the GA-SFLA than that of implementing GA and SFLA, respectively.

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“…Some experts and scholars proposed that decomposing the process of technology innovation and studying on the innovation mechanism will help to dig the potential law of technology innovation [7,8]. Meanwhile, existing research on the elements of technology innovation is also increasingly prominent, and the principle of innovation and invention obtained from the coupling of innovative elements and innovation law has been widely recognized [9,10].…”

Section: Introductionmentioning

confidence: 99%

Research on the Innovation Elements In the Process of Technology Innovation

Yue

2017

MATEC Web Conf.

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Abstract. In order to improve the efficiency of innovation, the process of technology innovation has caused the attention of experts and scholars day by day. But in the process of technology innovation, the research on the extraction and classification of innovation elements needs to be further specific and systematic. Based on the full research on the innovation activities and innovation elements in many innovative fields, this paper elaborates the general process of the formation of innovation principle, and clusters innovation elements in many fields to form nine innovation dimensions, and then segments each innovation dimension into several sub dimensions of innovation. This paper aims to provide theoretical support for the research of innovative methods, and provide help for improving the quality and efficiency of innovation.

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A novel method for rule extraction in a knowledge-based innovation tutoring system

Cited by 13 publications

References 51 publications

Application of Internet of Things Artificial Intelligence and Knowledge Innovation System in Table Tennis Teaching and Training

Application of Internet of Things Artificial Intelligence and Knowledge Innovation System in Table Tennis Teaching and Training

Parameter Optimization Strategy of Fuzzy Petri Net Utilizing Hybrid GA-SFLA Algorithm

Research on the Innovation Elements In the Process of Technology Innovation

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