Establishment of herbal prescription vector space model based on word co-occurrence

Chen, Shouqiang; Yang, Chen; Yuan, Feng; Xiaowei, Chang

doi:10.1007/s11227-018-2559-3

Cited by 2 publications

(2 citation statements)

References 13 publications

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“…Vector Space Model was proposed by scholars Salton et al in the 1970s [20][21], it is widely used in the field of text information retrieval. Later, Chen Jiexi and other scholars are influenced by the idea of kernel clustering, and put forward the Kernel Vector Space Model (KVSM), and in the field of patent classification, the application effect is very good [22].…”

Section: Kernel Vector Space Modelmentioning

confidence: 99%

State Evaluation Model of High voltage Switchgear Based on Fuzzy Set-valued Statistical Method and Kernel Vector Space Model

Zhang¹,

Qian²,

Changkui³

et al. 2021

E3S Web Conf.

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The traditional high voltage switchgear (HVS) state evaluation model mostly adopts electrical test, live detection and historical data, neglecting the influence of real-time operation data of HVS composition equipment on the state evaluation results. This paper proposes a HVS operation state evaluation model based on fuzzy set-valued statistics method and kernel vector space model based on electrical test data and on-line monitoring data. First of all, according to the components of high voltage switchgear, the operation state of HVS is described and the evaluation index system is established. Secondly, the fuzzy set-valued statistics method is used to construct the mathematical model of evaluation index weight. Then, the kernel vector space model is introduced, and the Gaussian kernel function is used to map the sample to the features of the high-dimensional feature space. The indicator vector of the sample data and the ideal indicator vector of the high-voltage switchgear operation status level standard are defined in the high-dimensional feature space, and the angle-weighted cosine between the two vectors is calculated as the closeness of the sample to the standard status level, and then the high-voltage switchgear operation status level is obtained. Finally, the real data of a power supply company in western China are simulated. The results show that the greater the closeness degree is, the closer the HVS corresponding to the sample is to the normal state, on the contrary, the smaller the closeness degree is, the closer the HVS is to the fault state.

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Section: Kernel Vector Space Modelmentioning

confidence: 99%

State Evaluation Model of High voltage Switchgear Based on Fuzzy Set-valued Statistical Method and Kernel Vector Space Model

Zhang¹,

Qian²,

Changkui³

et al. 2021

E3S Web Conf.

View full text Add to dashboard Cite

show abstract

“…Statistical analysis can be performed using bibliometrics [29][30][31]. A co-occurrence analysis is a method commonly used in literature metrology and content analysis, whose essence is to make pairwise statistics on the number of occurrences of a group of words in the same article and conduct a cluster analysis on these words so as to further analyze the internal research changes in the disciplines and topics represented by these words [32][33][34]. The knowledge atlas method is an interpretation that uses visual technology to describe knowledge resources and their carriers, repeatedly mining, analyzing, constructing, and displaying knowledge and their interrelationships.…”

Section: Introductionmentioning

confidence: 99%

Research Status and Challenges on the Sustainable Development of Artificial Intelligence Courses from a Global Perspective

et al. 2023

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The widespread application of artificial intelligence technology in various fields has made the sustainable development of artificial intelligence courses an important direction in the field of artificial intelligence education and teaching. Therefore, it is particularly important to conduct an in-depth analysis of the current research status of “artificial intelligence courses” from a global perspective. Firstly, this article clarifies the three stages of slow development, rapid development, and mature development of artificial intelligence curriculum research through the number and distribution years of the literature. It also conducts a co-authorship analysis on the distribution of countries, institutions, and authors of artificial intelligence curriculum research and identifies countries, institutions, and core authors that have made greater contributions to artificial intelligence curriculum research. Secondly, due to the involvement of artificial intelligence in many different fields of knowledge, an analysis is conducted on the journals that published papers on artificial intelligence courses. Finally, based on the analysis of keyword density and time span, the current research hotspots of artificial intelligence courses are summarized: artificial intelligence technology empowerment courses, two education directions at different stages of artificial intelligence courses, and teaching forms in the field of artificial intelligence courses. The current research trend of artificial intelligence courses is analyzed from three aspects: teaching format, teaching content, and teaching objects. This article provides a theoretical reference value and practical basis for future research and development in the field of artificial intelligence courses, while also providing experience for the efficient and sustainable development of artificial intelligence courses to a certain extent.

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Establishment of herbal prescription vector space model based on word co-occurrence

Cited by 2 publications

References 13 publications

State Evaluation Model of High voltage Switchgear Based on Fuzzy Set-valued Statistical Method and Kernel Vector Space Model

State Evaluation Model of High voltage Switchgear Based on Fuzzy Set-valued Statistical Method and Kernel Vector Space Model

Research Status and Challenges on the Sustainable Development of Artificial Intelligence Courses from a Global Perspective

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