Intelligent Decision System of Higher Educational Resource Data under Artificial Intelligence Technology

There are related problems in the clustering and analysis of verbs in the English language. In order to further improve the application of verbs in the English language based on the theory of artificial intelligence, the clustering analysis of English verbs is carried out by using artificial intelligence technology and through the use of discrete matrix and evaluation index optimization, so as to obtain the optimized artificial intelligence model. The model can provide a good computational process for the verb clustering analysis of the English language, and the experimental data are used to verify the model. Relevant studies show that the influence of parameter change on the discrete change of the matrix can be divided into three cases: the curve shows a gentle change trend with the increase of distance; the increase of the distance makes the discrete data of the experiment increase approximately linear. The relationship between distance and discrete data is nonlinear. The change curve of MS has obvious multi-segment linear characteristics, and the linear slope of the first stage is the lowest, indicating that the change effect of the curve is the least obvious in this stage. Based on the clustering analysis of English language verbs using artificial intelligence technology, it can be seen that different factors vary in an obvious range at the initial stage and have good corresponding fluctuation characteristics. With the increase of samples, the corresponding curve gradually tends to be flat. Finally, the accuracy of the model is verified by experimental data. This research can provide a theoretical basis for the application and analysis of artificial intelligence in other fields and provide support for clustering and analysis of verbs in the English language.

Section: Artificial Intelligence Algorithmmentioning

confidence: 99%

Clustering and Analysis of Verbs in English Language Based on Artificial Intelligence

Zheng

Zong-jie

2022

“…Literature [17] focuses on how to make use of the existing systems and data in newly built enterprise application systems and proposes to solve the problem of data sharing and interaction between old and new enterprise systems, diferent application systems, or diferent data sources. Literature [18] holds that the education plan "must be aimed at the whole education system, and it should contact all aspects of the education system to coordinate the education policies." Literature [19] reviews the current typical network education resource management modes, namely, document directory management, special and subject websites, resource management database, resource center, and distributed resource database system, and points out their basic characteristics and limitations.…”

Section: Related Workmentioning

confidence: 99%

SOA-based Information Integration Platform for Educational Management Decision Support System

Wang

2022

The resource management platform based on the resource library has different structures, which brings a lot of inconvenience to the sharing of educational resources. However, the scale of the school is constantly expanding, the number of campuses and departments within the school increases, and the number of teachers and students increases. These new circumstances need the development of an open, secure, and effective school administration system that can operate online at any time and from any location. The “plan norm model” of educational management decision-making goals controls the decision-making dynamic structure. Whether the decision-making object is an “economic man” or a “social man,” its dynamic structure is built on a top-down control sequence, with the only variation being the control mechanisms used. In colleges and universities, educational administration management is an essential aspect of educational management. It is a work with strong timeliness, heavy workload, and high accuracy requirements, affecting the overall situation of teaching. This paper proposes an information integration platform based on SOA, which integrates various enterprise application systems into a unified platform by using a loose coupling structure, realizes information sharing among application systems, and meets the needs of cross-departmental enterprise business. As a new architecture idea, service-oriented architecture can package existing assets and reuse existing assets. It can also minimize the impact of demand changes because its implementation is loosely coupled. When users need to add or modify a function, they only need to make a few modifications in the presentation layer or business process layer.

“…Traditional multisensor data fusion methods are characterized by low accuracy and high noise [19][20][21] because the data collected by sensors may be affected by noise and other factors, which may lead to unstable data fusion in the greenhouse environment. is paper proposes a multisensor data fusion algorithm [22,23] based on adaptive trust estimation and neural network for the simulation design and application of multisensor distribution in traditional Chinese clothing of the Internet of ings.…”

Section: Decision Model Based On Multidata Fusion Algorithmmentioning

confidence: 99%

Implementation of Intelligent Decision Model of Traditional Hanfu 3D Design Based on Internet of Things

Wang

2022

In view of the problems existing in the design and application of traditional Hanfu, in order to better promote the application prospect of the Internet of Things in traditional Hanfu, the adaptive estimation model is adopted to analyze the relevant algorithms. Based on the Internet of Things theory, the optimized intelligent decision model is obtained, and the relevant parameters of the model are modified so as to obtain the application of traditional Hanfu in 3D simulation design based on the Internet of Things theory. Finally, the optimized model is used to predict and analyze the design and application of traditional Hanfu. The results show that the value of the Internet of Things in 2021 is 880, an increase of about 8.6 times compared with 102 in 2011, indicating that the industry shows a strong growth trend. In addition, the growth rate of the Internet of Things from 2018 to 2021 is low, indicating that the output value of the Internet of Things in this stage is relatively stable, and it also reflects from the side that the Internet of Things has entered a stable growth period. With the increase in the number of iterations, the corresponding curves of the two original trust degrees show little change, and the original trust degree curves are mainly divided into the stage of slow rise and the stage of steady increase. The influence of the optimization model on the willingness to trust is obvious, showing varying degrees of increase. Different calculation methods describe the test data differently. The mathematical estimation method shows an approximate linear trend. The result estimation method shows the change in the quadratic function. The key decision rules have the characteristic of subsection. Data method has strong fluctuation in the early stage. Objective function method can better describe the characteristics of traditional Hanfu. This study realizes the design and application of traditional Hanfu in the field of 3D simulation based on the Internet of Things theory so as to provide a theoretical basis for the application and research of the Internet of Things in other fields.