International Conference on Mathematics, Modeling and Computer Science最新文献_第10页

Application of improved target detection algorithm in sports robot motion behavior 改进目标检测算法在运动机器人运动行为中的应用

International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2669419

Cheng Yang

引用次数: 0

Research on key user mining method of network marketing based on new media development 基于新媒体发展的网络营销关键用户挖掘方法研究

International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2670326

Yang Meng

引用次数: 0

Research on audit financial data analysis based on data mining algorithm 基于数据挖掘算法的审计财务数据分析研究

International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2670414

T. Bi

引用次数: 0

Optimal allocation of innovation and entrepreneurship education resources for local normal education majors based on PSO algorithm 基于粒子群算法的地方师范专业创新创业教育资源优化配置

International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2671451

Mingxin Qin, Yanan Yang

引用次数: 0

Research on enterprise comprehensive financial analysis based on clustering algorithm 基于聚类算法的企业综合财务分析研究

International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2670403

Tao Ma

引用次数: 0

Study on software defects prediction model based on machine learning 基于机器学习的软件缺陷预测模型研究

International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2670396

Wenqing Ren

{"title":"Study on software defects prediction model based on machine learning","authors":"Wenqing Ren","doi":"10.1117/12.2670396","DOIUrl":"https://doi.org/10.1117/12.2670396","url":null,"abstract":"In the rapid development of network science and technology, the software, as the basic part of the network system operation, the practical application quality directly determines the realization of the function, so the users put forward higher requirements for the software quality. According to the application situation of network system software in recent years, software defects are the main factor affecting the application quality, and the relevant detection technology is the only way before the formal promotion of software. Therefore, researchers have put forward a defect prediction scheme based on the software code, which can not only reduce the cost, but also improve the practical efficiency. This paper focuses on the understanding of the machine learning algorithm and constructing automatic and comprehensive learning models according to the software defect prediction technology, thus discovering the defects in the software. The final experimental results prove that different algorithms have different advantages in different evaluation indicators. By using these advantages and the stacking integrated learning methods in machine learning, building a prediction model with combined machine learning algorithms as the core can find defects more accurately and perfectly.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"2 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131574270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on unbalanced class learning method based on logistic regression mixed strategy 基于逻辑回归混合策略的非平衡课堂学习方法研究

International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2670337

Yucai Zhou

{"title":"Research on unbalanced class learning method based on logistic regression mixed strategy","authors":"Yucai Zhou","doi":"10.1117/12.2670337","DOIUrl":"https://doi.org/10.1117/12.2670337","url":null,"abstract":"In the context of the era of big data, machine learning and pattern research are the main contents of the technical discussion of scholars around the world. Faced with the continuous increase of data information, the problem of class imbalance appears in the relevant technical research. The main feature is that the number of instances of some classes is obviously less than that of other classes. From the Angle of practical application, in cases of hospital diagnosis, for example, because only a handful of cancer patients, so how to correctly identify all kinds of mass data information in cancer patients, practice can improve work efficiency, and can quickly find conform to the requirements of the case, to modern medical diagnosis technology research is of great significance. Therefore, on the basis of understanding the status quo of modern technology research and development, this paper, according to the relevant theories of unbalanced data set and logistic regression model, deeply discusses the unbalanced class learning method with logistic regression mixed strategy as the core. The final experimental results show that the new logistic regression algorithm can effectively improve its performance in class imbalance on the basis of guaranteeing high accuracy. Compared with other advanced methods, the logistic regression model has obvious technical advantages.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123695179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis of application scenarios and extension of key technologies of smart distribution network 智能配电网关键技术应用场景及推广分析

International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2671461

Yutai Luo, Zixian Zeng, Zongyang Liu

{"title":"Analysis of application scenarios and extension of key technologies of smart distribution network","authors":"Yutai Luo, Zixian Zeng, Zongyang Liu","doi":"10.1117/12.2671461","DOIUrl":"https://doi.org/10.1117/12.2671461","url":null,"abstract":"In the technological innovation of science and technology development of social economy, the advanced technologies such as artificial intelligence and big data as the core of intelligent distribution network to get people's attention, compared with the traditional sense of the distribution network system, intelligent distribution network has some characteristics such as self-healing, compatibility and integration, can guarantee intelligence of each link and module function of the distribution network, And combined with geographic information system to provide users with quality services. Therefore, on the basis of understanding the research and development status of intelligent distribution network, this paper conducts empirical analysis on the specific application of intelligent planning and design management system of urban distribution network according to the key technology analysis of intelligent distribution network. The final results show that smart distribution network and its key technologies have a wide range of application and promotion in the current power grid field, which meets the operation needs of employees in various departments and can ensure the coordination and unification of power enterprises, power users and system operation.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121666941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design of enterprise intelligent accounting system structure and intelligent accounting algorithm 设计企业智能会计系统结构及智能会计算法

International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2670299

Hongyi Qu

{"title":"Design of enterprise intelligent accounting system structure and intelligent accounting algorithm","authors":"Hongyi Qu","doi":"10.1117/12.2670299","DOIUrl":"https://doi.org/10.1117/12.2670299","url":null,"abstract":"The enterprise accounting system innovation in the direction of the informatization and intelligent, refers to the reasonable use of the computer as the core concept of smart technology to replace the anon accounting professional judgment, so as to safeguard computer can automatically complete a variety of activities of accounting, which is to build intelligent accounting system application and design algorithm is the focus of attention. Under the development trend of economic globalization, the reform pace of enterprise accounting is getting faster and faster, but important links still need accountants to make correct judgment. If artificial intelligence can be used to optimize and innovate, then enterprises can completely realize the intelligent accounting system structure. Thus, under the background of the new era, how to make the intelligent judgment of the computer program completely replace the artificial judgment will become the key content of the highlevel development of accounting informatization, which is also the key to the practice of technological innovation. In this paper, on the basis of understanding the current situation of enterprise intelligent accounting system structure application innovation, combined with the empirical analysis of the accumulated technical experience of scholars around the world, deep exploration of enterprise intelligent accounting system structure and application algorithm. The final results show that it is of practical significance to integrate artificial intelligence into enterprise accounting.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"155 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124333876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on deep learning technology to analyze the behavior of multi-target objects 多目标对象行为分析的深度学习技术研究

International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2670484

Jia-lin Xu

引用次数: 0